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Manual 6 – Embedded corrosion of fasteners in exposed t imber structures
PROJECT NUMBER: PN07.1052
August 2007
MARKET ACCESS
This report can also be viewed on the FWPA website
www.fwpa.com.auFWPA Level 4, 10-16 Queen Street,
Melbourne VIC 3000, AustraliaT +61 (0)3 9927 3200 F +61 (0)3 9927 3288
E [email protected] W www.fwpa.com.au
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USP2007/043
MANUAL NO. 6
Embedded Corrosion of Fasteners in
Timber Structures
Minh N. Nguyen, Robert H. Leicester, and Chi-hsiang Wang
April 2008
This report has been prepared for Forest & Wood Products Australia (FWPA).
Please address all enquiries to:
Urban Systems Program
CSIRO Sustainable Ecosystems
P.O. Box 56, Highett, Victoria 3190
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 2
Acknowledgments
This Manual is one of a series of Manuals that have been produced as part of a project titled
„Design for Durability‟. The authors are deeply indebted to the Forest and Wood Products
Australia for their funding and collaboration in this project over the past 10 years. The authors
would especially like to thank Colin MacKenzie (Timber Queensland) for the major role that
he has played in managing and guiding this project to completion. Thanks are also due to Ivan
Cole (CSIRO), Wayne Ganther (CSIRO), and George King (ex-CSIRO) for contributing
extensive data and expertise to the development of the models described in this Manual.
Finally our thanks go to Greg Foliente, Craig Seath, Sandra Roberts and numerous other
CSIRO personnel for their assistance and contribution to this project
© 2008 CSIRO
To the extent permitted by law, all rights are reserved and no part of this publication covered by
copyright may be reproduced or copied in any form without acknowledgment of this reference source.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 3
Contents
EXECUTIVE SUMMARY
1. MODEL EQUATIONS
1.1 Introduction
1.2 Scope and Procedure
1.3 Timber Acidity Classification and Hazard zones
1.4 Moisture Content of Timber
1.5 Corrosion Depth of embedded fasteners in untreated wood
1.6 Corrosion Depth of Embedded Fasteners in CCA treated wood
1.7 Design Depth of Embedded Corrosion
2. BASIS OF MODEL DEVELOPMENTS
2.1 Introduction
2.2 Timber Moisture Content model and Hazard Zones
2.2.1 Surface Equilibrium Moisture Content of Timber
2.2.2 Hazard Zones and Climate Zones
2.2.2.1 Hazard zones
2.2.2.2 Climate Zones
2.2.3 Timber Moisture Content
2.3 Timber Acidity Classification
2.3.1 Timber Acidity
2.3.2 Timber Classification
2.4 Model Equations of Embedded Corrosion
2.4.1 The Base Model of Embedded corrosion in untreated wood
2.4.2 The Base Model of Embedded Corrosion in CCA treated wood
2.4.3 Mean Corrosion Depth
2.5 Design Corrosion Depths
2.5.1 Coefficient of variation
2.5.2 Design Corrosion Depths
2.6 Corrosion of Bolts
3. DATA FITTINGS
3.1 Fitting and calibration using data of 2-year embedded nails exposed to in-service
conditions
3.2 Fitting with data from BRANZ Study Report of Embedded Corrosion Tests
3.3 Fitting with 120-day embedded corrosion tests
4. HAZARD SCORE SYSTEM
4.1 Definition of Hazard Scores
4.2 Definition of Hazard Class
4.3 Derived c0 values
4.4 Corrosion depths
4.5 Service Life
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 4
5. EQUATIONS FOR THE DRAFT ENGINEERING CODE
6. SCORE SYSTEM FOR THE DESIGN GUIDE
REFERENCES
APPENDIX A – Derivation of Score System to estimate Timber Moisture Contents
APPENDIX B – Moisture Contents & First-year Corrosion Depths for Theoretical
Corrosion Scenarios
APPENDIX C – MODEL EQUATIONS 2000
C.1 Introduction
C.2 Acidity of Timber
C.3 Corrosion Model
C.3.1 The Base Corrosion Model
C.3.2 Parameters for Untreated Wood
C.3.3 Parameters for CCA-treated Wood
C.3.4 Moisture Content of Timber
C.3.5 Computation of Corrosion Depth
C.4 Data from nails embedded in timber for 120 days under constant moisture content
APPENDIX D – MODEL EQUATIONS 2002
D.1 Hazard Zones
D.2 Climate Zones
D.3 Material Grouping
D.4 Simplified Theory Equations
D.4.1 The Base Model of Embedded Corrosion in Untreated Wood
D.4.2 The Base Model of Embedded Corrosion in CCA-treated Wood
D.4.3 Moisture Content of Timber
D.4.4 Corrosion Depth
APPENDIX E – HAZARD SCORE SYSTEM 2002
E.1 Definition of Hazard Scores
E.2 Definition of Hazard Class
E.3 Derived c0 values for computing the tables in the 2002 Compendium
E.4 Service Life
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 5
Executive Summary
Service life is one of the most important considerations in the use of timber in construction.
About 10 years ago, the Forestry and Wood Products Research and Development Corporation
(FWPRDC), now Forest & Wood Products Australia (FWPA), initiated a major national
project on the design for service life of timber structures. The intention was to develop
procedures for assessing the service life of all types of timber construction located anywhere
in Australia. A major part of this project was to develop prediction models for the attack of
timber by decay fungi, termites, corrosion (for fasteners) and marine borers.
This Manual describes the development of the model to predict the corrosion of fasteners‟
part embedded in wood. The model was primarily developed based on expert opinions and
data obtained from an extensive test program of about 70 nails embedded for 120 days in 15
different timber species and/or preservative treatments. The model was then fully developed
so that it can be applied to all locations in Australia, and to numerous timber species used in
practice. Checks and calibration of the model were then carried out with about 150 corrosion
data of nails from a test of 2-year exposure of nail joints at various locations in 8 houses in
VIC, NSW, and QLD; and with the results of a Lab study by BRANZ on corrosion of metallic
fastener materials in Radiata pine untreated and treated with CCA.
From the predicted corrosion depth, the residual cross-sections of fasteners can be estimated.
The strength predictions for the residual cross-sections can then be made. The strength
predictions are in quantified form, and hence the model can be used for risk managements,
cost-optimised design, engineering design, application to timber engineering standard, and
manuals for good practice. For the major outputs of the project, the model is being used to
develop a major part of an education software, a durability design guide, and a draft
engineering code for timber durability design.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 6
1. Model Equations
1.1 Introduction
This Section presents the final model and the calculation procedure for the design corrosion
depths on embedded parts of metal fasteners, which can be used to estimate the corrosion
depths for metal fasteners used in any timber construction located anywhere in Australia.
Basis of the development of model equations will be given in Section 2. Then Section 3 will
show how available data fit with the model.
1.2 Scope and Procedure
This Section provides the calculation procedures for the design corrosion depths on metal
fasteners‟ parts that are tightly embedded in wood, such as the shank of nails, screws, and
nailplate‟s teeth, as depicted in Figure 1.2.1.
To evaluate the design corrosion depths, the timber acidity class and hazard zone of the
structure location are obtained from Section 1.2.1. Timber moisture content is estimated from
Section 1.2.2. The mean corrosion depth is then estimated using the procedure in Section
1.2.3 for fasteners embedded in untreated wood, and Section 1.2.4 for fasteners embedded in
CCA-treated wood. The design corrosion depths are then determined in Section 1.2.5.
Loss of section of embedded steel
c
Figure 1.2.1 Embedded corrosion depth
1.3 Timber Acidity Classification and Hazard zones
Durability classification of timber is listed in Section 2.3.
The hazard zone map is shown in Figure 1.3.1. Three hazard zones and their representative
mean annual surface equilibrium moisture content SEMCmean and the boundary SEMCmean are
in Table 1.3.1.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 7
Table 1.3.1 Effective SEMCmean values for the 3 hazard zones
Zone SEMCmean
A
B
C
9
12
15
Figure 1.3.1 Embedded corrosion hazard zone map. Zone C is most hazardous.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 8
1.4 Moisture Content of Timber
The mean annual surface equilibrium moisture content, SEMCmean, is given in Table 1.3.1,
depending on hazard zones. The mean seasonal moisture content of a piece of timber, TMmean
for one year is estimated as,
TMmean = exp(1.9 + 0.05 SEMCmean) (1.4.1)
The mean and maximum seasonal moisture contents of timber in building, BTMmax and
BTMmean, are:
mean mean climate rainBTM TM (1.4.2)
max mean mean0.1 BTM BTM D TM (1.4.3)
where the damping factor (D), the adjustment factors for the climate (climate) are given in
Tables 1.4.1. The adjustment factor for rain (rain) is given in Table 1.4.2.
Table 1.4.1 Damping factor and adjustment factor for climate
Climate zone D Δclimate
Marine*
Other
6.0
2.0
2.5
0.5
* Marine: if the distance to coast < 1 km
Table 1.4.2 Adjustment factor rain
Outdoor (Facades) rain
Hazard zone A Hazard zone B Hazard zone C
Sheltered / partly sheltered from rain
Vertical surface exposed to rain
Horizontal surface exposed to rain
0
1
3
1
4
9
2
8
17
Note: For corrosion of bolt’s shank (see Section 2.5), this factor is increased by 1.5 times.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 9
1.5 Corrosion Depth of embedded fasteners in untreated wood
For the case of untreated wood, corrosion depth for the first year (m), co is computed as
follows,
o 120 max 120 mean
1( ) 0.3 ( )
2c f BTM f BTM (1.5.1)
where f120(M) is the corrosion depth of connectors embedded in untreated wood for 120 days,
given as a function of timber moisture content M (%),
0
120 120 0 0 0
120 0
0 if ;
( ) 0.2 ( ) if ( +5%);
if ( +5%)
M M
f M C M M M M M
C M M
(1.5.2)
The function is illustrated in Figure 1.5.1. Values of C120 and M0 are listed in Table 1.5.1
depending on the timber acidity class and timber type.
Moisture content
of wood
M (%) M0
C120
Corrosion depth (m)
f120(M)
In untreated wood
M0 +5%
Figure 1.5.1. Base model of embedded corrosion in untreated wood.
Table 1.5.1 Parameters of the corrosion model of embedded fasteners in untreated wood
Material Wood type
C120
M0 (%) Acidity
class 1
Acidity
class 2
Acidity
class 3
Zinc Hardwood 2.0 7.0 12.0 10
Softwood 4.0 5.0 6.0 15
Steel Hardwood 2.0 8.0 14.0 15
Softwood 2.0 6.0 10.0 15
The corrosion depth of embeeded fasteners in untreated wood, c, over the period t years is
computed by
c = co tn (1.5.3)
where n= 0.5 for zinc and n = 0.6 for steel.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 10
1.6 Corrosion Depth of Embedded Fasteners in CCA treated wood
For the case of CCA-treated wood, corrosion depth for the first year (mm), co is computed as
follows,
For zinc o 120 mean1.3 ( )c f BTM (1.6.1)
For steel o 120 mean2.1 ( )c f BTM (1.6.2)
where f120(M) is the corrosion depth of connectors embedded in CCA-treated wood for 120
days, given by
0
120
0 0
0 if ;( )
0.7 ( ) if ;
M Mf M
M M M M
(1.6.3)
where M is moisture content, M0 = 12%. The function is illustrated in Figure 1.6.1.
Moisture content of wood
M (%) 12
C120
Corrosion depth (mm)
f120(M)
In CCA treated wood
wood
0.7
Figure 1.6.1. Base model of embedded corrosion in CCA-treated wood.
The corrosion depth of embedded fasteners in CCA-treated wood, c, over the period t years is
computed by
c = co tn (1.6.4)
where n= 0.6 for zinc and n = 1.0 for steel.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 11
1.7 Design Depth of Embedded Corrosion
The design depth of embedded corrosion, cdesign will be given by
1design cc c V (1.7.1)
where
c is the mean depth of the loss in fastener cross-section due to embedded corrosion,
computed by Eq.(1.5.3) or Eq.(1.6.4) for a chosen design life time.
Vc is the coefficient of variation of c. From available data, it is recommended that Vc =
2.0.
is specified parameter related to the target reliability level.
= 0.8 for normal consequence of failure elements.
= 0.4 for low consequence of failure elements.
From the design depth of embedded corrosion, the residual cross-section is estimated; from
which engineers compute the acceptable design load capacity by normal AS1720.1 procedure.
1.8 Corrosion of Bolts
cb
Corrosion
Figure 1.8.1 Depth of corrosion at the neck of the bolt
It is known that bolted joints can form a very special case of embedded fastener, because they
are often placed in oversized holes pre-drilled into the timber, thus allowing moisture/water,
salt and oxygen to enter, a situation that does not occur with other fasteners. To provide some
sort of indication of the corrosion of bolts, an assumption is made that the worst corrosion
occurs near the neck of the bolt, and this is either due to the embedded corrosion mechanism
that is enhanced by water ingress into the bolt‟s hole; or due to atmospheric corrosion that is
enhanced if the connector is near a beach. The procedures are as follows,
To compute the corrosion depth due to the embedded corrosion, follow the procedure in
Sections 1.2 to 1.7, with a modification that the adjusted factor rain (Table 1.4.2) is
multiplied by factor of 1.5 to take into account the increasing of timber moisture content
due to water ingress into the bolt‟s holes.
To compute of the corrosion depth due to atmospheric corrosion that is enhanced if the
connector is near a beach, follow the procedure in Manual No.5.
The corrosion depth cb near the neck of the bolt is taken to be the higher of these two
computed corrosion values.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 12
2. Basis of Model Development
2.1 Introduction
This Chapter presents the basis of the development of the corrosion model for embedded part
of fasteners (embedded corrosion) in wood. There are 2 main parameters contributing to the
extent of the embedded corrosion in wood: (1) Timber moisture content, and (2) Acidity of
wood or preservative used. These 2 main parameters will be addressed in the followings.
2.2 Timber Moisture Content model and Hazard Zones
2.2.1 Surface Equilibrium Moisture Content of Timber
The surface equilibrium moisture content (SEMC) for a given temperature and humidity is
calculated according to Bramhall‟s equation (Siau, 1995) as follows:
ee 2
e
log ( /100) 0.0251log
17.884 0.0002362( 273) 0.1432( 273)
0.92 log 1.0327 0.000674( 273)
H
T TSEMC
T
(2.2.1.1)
where
T = the dry bulb temperature (C)
H = relative humidity (%)
The SEMC can be calculated with time, using data from a nearby Bureau of Meteorology
station, and then be averaged to obtain SEMCmean, the mean annual value of the surface
moisture contents. This parameter will be used as the main parameter to predict the timber
moisture content with a model developed in Section 2.3.
2.2.2 Hazard Zones and Climate Zones
2.2.2.1 Hazard zones
To simplify the calculation procedure, 3 hazard zones, namely A, B and C; are created as
shown in Fig. 2.2.2.1. This original map is plotted from the computed SEMCmean from
weather data measured at hundreds of Bureau of Meteorology (BOM) stations across
Australia, with an adjustment due to the simplification of the climate zones. The adjustment
has been made to the tropical areas, which have latitudes less than 23˚ S, where the SEMCmean
data was increased 1% to compensate for using the simplified values of Δmicroclimate for climate
zone „other‟, ie. non-marine, as in Table 2.4.3.3. This will be defined as the Effective
SEMCmean. The simplified climate zonation is presented in the next section.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 13
A B
C
Figure 2.2.2.1. „Original‟ hazard zone map based on SEMCmean.
Furthermore, expert opinions (MacKenzie) suggested that zone C should not be cut out along
the coast near Brisbane. Figure 2.2.2.2 is the modified map currently used. The modification
was made by adjusting the SEMCmean at Gympie (BOM data point C62) from 12.38% to 13%.
The boundary and the zone effective SEMCmean values are in Table 2.2.2.1.
Table 2.2.2.1 Effective SEMCmean values for the 3 hazard zones
Zone Zone effective
SEMCmean
Effective SEMCmean
used for boundary
A
B
C
9
12
15
10
13
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 14
Figure 2.2.2.2. Hazard zone map
2.2.2.2 Climate Zones
In the early model presented in Appendix C, there were 6 climate zones, which were:
Defined with a quite complicated procedure to determine the zone of a site
Assigned with different values of many factors relating to climate and microclimate.
However, we noted that the factors relating to climate and microclimate were very rough
estimates which were about right for some tested houses/sites only. And as long as we are
only interested in the model for façade/exposed structures, significant differences of the
values of these factors are only found between „Marine‟ zone and the rest. Therefore, we
simplified the climate zonation by defining only 2 climate zones:
Marine: if the distance to coast < 1 km
Other, ie. non-marine
The factors relating to climate and microclimate are also simplified, as listed in the next
section.
2.2.3 Timber Moisture Content
The early model for moisture content of timber is presented in Appendix C, which was
developed based on a test program presented in Cole et.al. (1996a, 1996b, 1999), Ganther &
Cole (2000), and Cole (private communication and internal reports). A summary of the test
program is provided in Section 3.1. In 2002, based on expert opinions from Mackenzie
(2000), we modified the model with another factor rain to take into account the orientation
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 15
and sheltering effects of the structures. The modified model in 2002 is presented in Appendix
D.
This section presents the final model to estimate the moisture content of the timber.
Borrowing some ideas of simplification made for the development of the Score System
presented in Appendix A, the 2002 timber moisture content model in Appendix D is further
simplified, as presented in the followings.
The mean and the maximum seasonal moisture contents of a piece of timber for one year as
follows,
TMmean = exp[1.9 + 0.05 SEMCmean] (2.2.3.2)
TMmax = 1.1 TMmean (2.2.3.3)
where TMmax = the maximum value out of the four TM seasonal values of moisture content in
a piece of timber for one year, TMmean = the mean annual value of timber moisture content.
The mean surface equilibrium moisture content, SEMCmean, can be computed from BOM data
as in Section 2.2.1; or taken the representative value of the hazard zone given in Section 2.2.2.
The constants „1.9‟ and „0.05‟ are the average of „A‟ and „B’ in Table D.4.3.2, which is now
can be taken out as A and B do not vary much with wood types. The simplification led to
Eq.(2.2.3.3) is as in the derivation of the Score System presented in Appendix A.
The maximum and mean seasonal moisture contents of timber in building, BTMmax and
BTMmean, are:
mean mean climate rainBTM TM (2.2.3.4)
max mean max mean mean mean0.1 BTM BTM D TM TM BTM D TM (2.2.3.5)
where the damping factor (D), the adjustment factors for the climate (climate) are given in
Tables 4.4.3.2. The adjustment factor for rain (rain) is given in Table 4.4.3.3.
It is noted that compared with the earlier versions of the model (Appendices C and D), we
decided to split the embedded corrosion model into 2 separate parts: one for exposed
structures and one for structures within a building envelope. All model components related to
the building envelope, i.e. roof space, sub-floor, and wall-cavity are therefore taken out of the
model herein. The model for building envelope is developed in Manual No. 9 (Nguyen et.al.
2008b).
Table 2.2.3.1 Mean surface equilibrium moisture content
Hazard zone SEMCmean
A
B
C
9
12
15
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 16
Table 2.2.3.2 Damping factor and adjustment factor for climate and micro-climate
Climate zone D Δclimate
Marine
Other
6.0
2.0
2.5
0.5
Table 2.2.3.3 Adjustment factor rain
Outdoor (Facades) rain
Hazard zone A Hazard zone B Hazard zone C
Sheltered / partly sheltered from rain
Vertical surface exposed to rain
Horizontal surface exposed to rain
0
1
3
1
4
9
2
8
17
Note: For corrosion of bolt’s shank (see Section 2.5), this factor is increased by 1.5 times.
2.3 Timber Acidity Classification
2.3.1 Timber Acidity
In this model it will be assumed that the corrosion of untreated timber is related to the acidity
of timber, defined as (7 pH), where pH is the acidity of free water in contact with the wood.
This is a new concept, and is introduced to make the design procedure more widely
applicable. Acidity is used as the basis of the corrosion model since it is the most easily
accessible parameter for corrosion of metal in contact with wood. It can be readily measured,
and in fact measured values are available for a large number of timber species.
A collection of acidity values derived from CSIRO measurements and reports by Davis
(1994) and Bootle (1983) are listed in Table C.2.1, Appendix C. It should be borne in mind
that although the measurement of wood acidity is quick, simple and straightforward it does
show considerable variability from piece to piece, and within the same piece of timber.
2.3.2 Timber Classification
Figure 2.3.1 presents the distribution of the recommended pH values for design of all species
listed in Table C.2.1. From the figure, the acidity classification of timber is established
according to the pH of the species, as defined in Table 2.3.1.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 17
0
5
10
15
20
0 1 2 3 4 5 6 7
pH
Occu
ren
ce f
req
uen
cy
Class
2
Class
3
Class
1
Figure 2.3.1 Histogram of pH values of all species in Table C.2.1 and
Natural Acidity Classification.
Table 2.3.1 Natural acidity classification and representative pH values
Acidity Class Representative pH
value Boundary pH value
1
2
3
5.5
4.5
3.5
5.0
4.0
The species, which were either from Thornton‟s table (Thorton et al. 1997) or TRADAC table
(TRADAC 1999) are listed in Table 2.3.3. The pH value of some species in this list has been
tested and available from Table C.2.1 in Appendix C, and also listed in Table 2.3.3 as
„Measured pH‟.
Figure 2.3.2 shows the Natural Acidity Class versus the density of the tested species divided
into 3 groups: Eucalyptus, Non-Eucalyptus Hardwood and Softwood. The density is seasoned
one determined at 12% moisture content. It can be seen that the acidity class is not in good
correlation with the density of timber.
Therefore, to determine the acidity class of untested species in the list, it is assumed that the
natural acidity class depends on the types of timber, which are divided into Eucalypts, Non-
Eucalypt Hardwoods, and Softwoods. Summary of the simplified classification and
representative pH values for untested species are in Table 2.3.2. Table 2.3.3 presented the
acidity class of timber.
Table 2.3.2 Acidity Classification according to Types of Wood
Type of Wood Acidity Class Representative pH
Eucalypts
Non-Eucalypt Hardwoods
Softwoods
3
2
2
3.5
4.5
4.5
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 18
Eucalyptus
0
1
2
3
4
5
6
400 600 800 1000 1200
Density
pH
Eucalyptus
0
1
2
3
4
400 600 800 1000 1200
Density
Natu
ral acid
ity c
lass
Non-Eucalyptus Hardwood
0
1
2
3
4
5
6
400 600 800 1000 1200
Density
pH
Non-Eucalyptus Hardwood
0
1
2
3
4
400 600 800 1000 1200
Density
Natu
ral acid
ity c
lass
Softwood
0
1
2
3
4
5
6
400 600 800 1000 1200
Density
pH
Softwood
0
1
2
3
4
400 600 800 1000 1200
Density
Natu
ral acid
ity c
lass
Figure 2.3.2. Design pH and acidity class versus density of tested species grouped into
Eucalyptus, Non-Eucalyptus Hardwood, and Softwood – Data from Table 2.3.3.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 19
Table 2.3.3 Natural acidity Classification
Standard
Australia
index
Trade name Botanical name Type Density Measured
pH
Natural
acidity
class
22 Ash, alpine Eucalyptus delegatensis E 650 3.6 3
25 Ash, Crow’s Flindersia australis H 950 5.1 1
30 Ash, mountain Eucalyptus regnans E 640 4.7 2
37 Ash, silvertop Eucalyptus sieberi E 862 3.5 3
- Balau (selangan batu) Shorea spp. H 900 - 2
- Bangkirai Shorea laevifolia H 850 - 2
65 Beech, myrtle Nothofagus cunninghamii H 705 - 2
- Belian (ulin) Eusideroxylon zwageri H 1000 - 2
84 Blackbutt Eucalyptus pilularis E 884 3.6 3
86 Blackbutt, New England Eucalyptus andrewsii E 850 - 3
87 Blackbutt, WA Eucalyptus patens E 849 - 3
88 Blackwood Acacia melanoxylon H 650 - 2
97 Bloodwood, red Corymbia gummifera E 900 3.6 3
90 Bloodwood, white Corymbia trachyphloia E 1023 - 3
109 Bollywood Litsea reticulata S 532 3.9 3
121 Box, brush Lophostemon confertus H 900 4.5 2
126 Box, grey Eucalyptus moluccana E 1105 3.5 3
127 Box, grey, coast Eucalyptus bosistoana E 1110 3.4 3
134 Box, long leaved Eucalyptus goniocalyx E 873 - 3
138 Box, red Eucalyptus polyanthemos E 1064 - 3
144 Box, steel Eucalyptus rummeryi E 0 - 3
145 Box, swamp Lophostemon suaveolens H 850 - 2
150 Box, yellow Eucalyptus melliodora E 1075 - 3
148 Box,white Eucalyptus albens E 1112 - 3
162 Brigalow Acacia harpophylla H 1099 - 2
165 Brownbarrel Eucalyptus fastigata E 738 3.3 3
167 Bullich Eucalyptus megacarpa E 640 - 3
- Calantas (kalantas) Toona calantas H 500 - 2
178 Candlebark Eucalyptus rubida E 750 - 3
73 Cedar, red, western Thuja plicata S 448 3.3 3
544 Cypress Callitris glaucophylla S 680 5.4 1
114 Fir, Douglas Pseudotsuga menziesii S 520 3.5 3
253 Gum, blue, southern Eucalyptus globulus E 900 - 3
254 Gum, blue, Sydney Eucalyptus saligna E 843 3.6 3
266 Gum, grey Eucalyptus propinqua E 1050 3.8 3
267 Gum, grey, mountain Eucalyptus cypellocarpa E 961 3.6 3
268 Gum, Maiden's Eucalyptus maidenii E 992 - 3
269 Gum, manna Eucalyptus viminalis E 814 - 3
272 Gum, mountain Eucalyptus dalrympleana E 700 - 3
281 Gum, red, forest Eucalyptus tereticornis E 737 4.2 2
281 Gum, red, river Eucalyptus camaldulensis E 913 - 3
284 Gum, rose Eucalyptus grandis E 753 5.1 1
286 Gum, salmon Eucalyptus salmonophloia E 1070 - 3
288 Gum, scribbly Eucalyptus haemastoma E 907 - 3
289 Gum, shining Eucalyptus nitens E 530 - 3
293 Gum, spotted Corymbia maculata E 988 4.5 2
294 Gum, sugar Eucalyptus cladocalyx E 1105 - 3
305 Gum, yellow Eucalyptus leucoxylon E 1008 - 3
310 Hardwood, Johnstone Backhousia bancroftii H 950 - 2
Page 21
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 20
River
- Hemlock, western Tsuga heterophylla S 500 4.9 2
322 Ironbark, grey Eucalyptus paniculata E 1110 4.0 3
325 Ironbark, red Eucalyptus sideroxylon E 1086 - 3
326 Ironbark, red (broad-
leaved) Eucalyptus fibrosa E 1116 - 3
327 Ironbark, red (narrow-
leaved) Eucalyptus crebra E 1046 4.0 3
336 Ironwood Cooktown Erythrophleum chlorostgchys H 1220 - 2
340 Jam, raspberry Acacia acuminata H 1038 - 2
341 Jarrah Eucalyptus marginata E 823 3.3 3
- Kapur Dryobalanops spp. H 750 3.3 3
344 Karri Eucalyptus diversicolor E 905 4.2 2
Keruing Dipterocarpus spp. H 750 5.1 1
173 Kwila Intsia bijuga H 825 - 2
- Mahogany, Philippine,
red, dark Shorea spp. H 650 - 2
- Mahogany, Philippine,
red, light
Shorea, Pentacme,
Parashorea spp. H 550 - 2
384 Mahogany, red Eucalyptus resinifera E 955 3.0 3
391 Mahogany, white Eucalyptus acmenoides E 993 3.5 3
391 Mahogany, white Eucalyptus umbra E 887 - 3
387 Mahonany, southern Eucalyptus botryoides E 919 - 3
411 Mallet, brown Eucalyptus astringens E 974 - 3
432 Marri Corymbia Calophylla E 855 3
- Meranti, red, dark Shorea spp. H 650 3.9 3
- Meranti, red, light Shorea spp. H 400 5.0 2
226 Mersawa (Garawa) Anisoptera thyrifera H 630 4.5 2
434 Messmate Eucalyptus obliqua E 722 3.2 3
435 Messmate, Gympie Eucalyptus cloeziana E 996 - 3
458 Oak, bull Allocasuarina luehmannii H 1050 - 2
240 Oak, white, American Quercus alba H 750 - 2
509 Peppermint, black Eucalyptus amygdalina E 753 - 3
510 Peppermint, broad
leaved Eucalyptus dives E 811 - 3
512 Peppermint, narrow
leaved Eucalyptus radiata E 822 3.2 3
515 Peppermint, river Eucalyptus elata E 804 - 3
529 Pine, black Prumnopitys amara S 500 - 2
533 Pine, caribbean Pinus caribaea S 550 3.9 3
534 Pine, celery-top Phyllocladus asplenifolius S 646 - 2
545 Pine, hoop Araucaria cunninghamii S 550 5.2 1
546 Pine, Huon Lagarostrobos franklinii S 520 4.6 2
548 Pine, kauri Agathis robusta S 503 - 2
549 Pine, King William Athrotaxis selaginoides S 400 - 2
559 Pine, radiata Pinus radiata S 540 4.8 2
561 Pine, slash Pinus elliotii S 650 - 2
- Ramin Gonystylus spp. H 650 5.2 1
326 Redwood Sequoia sempervirens S 400 - 2
332 Rosewood, New Guinea Pterocarpus indicus H 577 - 2
635 Satinay Syncarpia hillii H 838 - 2
668 Stringybark, Blackdown Eucalyptus sphaerocarpa E 1000 - 3
671 Stringybark, brown Eucalyptus capitellata E 838 - 3
Page 22
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 21
676 Stringybark, red Eucalyptus macrorhyncha E 899 - 3
680 Stringybark, white Eucalyptus eugenioides E 856 - 3
681 Stringybark, yellow Eucalyptus muelleriana E 884 4 3
688 Tallowwood Eucalyptus microcorys E 990 3.5 3
- Taun Pometia pinnata H 700 - 2
369 Teak, Burmese Tectona grandis H 600 4.5 2
713 Tingle, red Eucalyptus jacksonii E 772 - 3
714 Tingle, yellow Eucalyptus guilfoylei E 900 - 3
720 Tuart Eucalyptus gomphocephala E 1036 - 3
723 Turpentine Syncarpia glomulifera H 945 3.5 3
747 Wandoo Eucalyptus wandoo E 1099 - 3
774 Woolybutt Eucalyptus longifolia E 1068 - 3
780 Yate Eucalyptus cornuta E 1100 - 3
788 Yertchuk Eucalyptus consideniana E 939 - 3
2.4 Model Equations of Embedded Corrosion
The initial model for embedded corrosion was presented in Appendix C, which was
developed based on a test program of nail‟s embedded corrosion in 120 days provided by
Cole et.al. (internal communication & lab reports). In 2002, based on some expert opinions
from Mackenzie (2000), we modified the model, particularly with reduced 120-day corrosion
for metal embedded in acidity class 3 timber. The modified model in 2002 is presented in
Appendix D.
The final model presented in this section is made with some further simplifications and
modifications to the earlier versions of the model. The simplifications and modifications are
based on
revisiting 120-day corrosion data
calibrating to BRANZ test data (Kear et.al. 2006)
calibrating to 2-year embedded corrosion of nail in-service
Summary of the tests and fittings of the model prediction to the tests‟ data are presented in
Chapter 3.
2.4.1 The Base Model of Embedded corrosion in untreated wood
The corrosion depth of connectors embedded in untreated wood subjected to 120-day
corrosion, f120(M), is:
f120(M) = 0 if M < Mo (2.4.1.1)
f120(M) = 0.2 C120 (M - Mo) if Mo < M < (Mo +5%) (2.4.1.2)
f120(M) = C120 if M (Mo +5) (2.4.1.3)
where M is moisture content. The function is illustrated in Figure 2.4.1.1. Table 2.4.1.1 gives
parameters of the model. Compared to the model in 2002 (Appendix D), the following
revisions have been made, based on a review of data from nails embedded in timber for 120
days and checks with other sources of data (see Chapter 3):
A ramp has put into f120 function from M0 to (M0 +5%)
Parameter M0 for steel in softwood is reduced from 20% to 15%
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 22
Parameters C120 are refined and can be estimated from wood pH by the following
linear functions
o For zinc in hardwood,
C120 = 5.0(7.0 pH) 5.5 (2.4.1.4)
o For zinc in softwood,
C120 = (7.0 pH) + 2.5 (2.4.1.5)
o For steel in hardwood,
C120 = 6.0 (7.0 pH) 7.0 (2.4.1.6)
o For steel in softwood,
C120 = 4.0 (7.0 pH) 4.0 (2.4.1.7)
Moisture content
of wood
M (%)
M0
C120
Corrosion depth (m)
f120(M)
In untreated wood
M0 +5%
Figure 2.4.1.1. Base model of embedded corrosion in untreated wood.
Table 2.4.1.1 Parameters of the corrosion model of embedded fasteners in untreated wood
Material Wood type
C120
M0 (%) Acidity
class 1
Acidity
class 2
Acidity
class 3
Zinc Hardwood 2.0 7.0 12.0 10
Softwood 4.0 5.0 6.0 15
Steel Hardwood 2.0 8.0 14.0 15
Softwood 2.0 6.0 10.0 15
2.4.2 The Base Model of Embedded Corrosion in CCA treated wood
The base model, ie. the model for 120-day corrosion, for both steel and zinc connectors
embedded in CCA treated wood is given by:
f120(M) = 0 if M < 12 (2.4.2.1)
f120(M) = 0.7 (M-12) if M 12 (2.4.2.2)
where M is moisture content. The function is illustrated in Figure 2.4.2.1. Compared to the
2002‟s model (Appendix D), the following revision are made
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 23
The same base model are used for steel and zinc
Wood moisture content threshold of the onset of corrosion is revised to 12%
Moisture content of wood
M (%) 12
C120
Corrosion depth (mm)
f120(M)
In CCA treated wood
wood
0.7
Figure 2.4.2.1. Base model of embedded corrosion in CCA-treated wood.
The revision was made to reflect the findings of BRANZ study (Kear et.al. 2006), where steel
corrosion was found consistently higher than zinc corrosion after one year embedded in CCA-
treated wood. The base models used in 2002‟s model (Appendix D), however, contradicted to
this observation. Revisiting the 120-day corrosion data (see Section 3.3), we see that
corrosion of both zinc and steel are more or less at the same rate at 120 days. We therefore
made the revision, ie. using the same base model of zinc and steel in CCA-treated wood. The
fitting of the revised base model to the 120-day data is presented in Section 3.3.
2.4.3 Corrosion Depth
The corrosion depth, c, over the period t years is given by
c = co tn (2.4.3.1)
where co is the corrosion rate (m/year), or more precisely, the corrosion depth for the first
year. For fasteners embedded in untreated wood, n= 0.5 for zinc and n = 0.6 for steel. For
fasteners embedded in CCA-treated wood, n= 0.6 for zinc and n= 1.0 for steel. This revised
long-term effect of CCA-treated wood is based on the understanding that the corrosion
product does not reduce much the corrosion progress caused by chemical agent of CCA in the
treated wood, as it does in untreated wood, particularly for steel.
From the check with data of 2-year corrosion of embedded nail in timber joint exposed to in-
service condition presented in Section 3.1, we found that the 2002‟s model very much over-
predicted the mean measured corrosion (and actually predicted reasonably the worst 10-
percentile of the measured corrosion). The 2002‟s model prediction appeared to be about
twice the mean measured corrosion. For better match with reality, we decided to reduce the
corrosion rate by a factor of 2. The corrosion rate co the becomes
For the case of untreated wood:
o 120 max 120 mean
1( ) 0.3 ( )
2c f BTM f BTM (2.4.3.2)
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 24
For the case of treated wood:
For zinc o 120 mean1.3 ( )c f BTM (2.4.3.3)
For steel o 120 mean2.1 ( )c f BTM (2.4.3.4)
where f120 is defined by Eqs. (2.4.1.1) and (2.4.1.2) for untreated wood case and Eqs.(2.4.2.1)
to (2.4.2.2) for CCA treated wood case. It is noted that the corrosion rate of steel is revised to
be approximately 1.6 times the corrosion for zinc. This factor of 1.6 can be derived from
equation (2.4.3.1), and is also supported by BRANZ tests data, as presented in Section 3.2.
The modification for steel corrosion model in treated wood are based on the conclusion of the
BRANZ study, where the zinc coatings were consistently shown to be more durable than mild
steel in all tests. This behaviour, however, was not observed clearly in the 120-day embedded
test as plotted in Figures 3.3.5 and 3.3.6. This was may be due to the duration of test, which
was not long enough for the protective effects of zinc corrosion product to work.
2.5 Design Corrosion Depths
2.5.1 Coefficient of variation
The coefficient of variation of corrosion depths, Vc, is determined from the model predictions
and measurements of corrosion depths given in the fittings/checks in Chapter 3. From the
comparision of the corrosion depths that resulted from the measurement (cm) with the model-
prediction corrosion depths (cp), log-normal distributions are assumed for the uncertainties of
the predicted and measured corrosion depths over time. This leads to the coefficient of
variation of the corrosion depth, denoted by Vc, evaluated as follows (Ang & Tang, 2006),
2
1cV e (2.5.1.1)
in which
2
2 1ln ln
2m pc c
n
(2.5.1.2)
where cm is the measured corrosion depth, cp is the predicted corrosion depth, and n is the
number of data points. The values of Vc thus obtained from the checks with 2-year embedded
nails individual data in Chapter 3. The results are listed in Table 2.5.1.1,
Table 2.5.1.1. Coefficient Vc for embedded corrosion model
Data Group Vc
Marine sites – all steel and zinc 2.6
Non-marine sites – all steel and zinc 1.9
All data, both zinc and steel 2.0
For the Engineering Code, the coefficient Vc for the whole model is set to be 2.0.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 25
2.5.2 Design Corrosion Depths
The design depth of embedded corrosion, cdesign will be given by
1design cc c V (2.5.2.1)
where
c is the mean depth of the loss in fastener cross-section due to embedded corrosion,
computed by equations given in Section 2.4.3.
Vc is the coefficient of variation of c, presented in Section 2.5.1.
is specified parameter related to the target reliability level.
= 0.8 for normal consequence of failure elements.
= 0.4 for low consequence of failure elements.
From the design depth of embedded corrosion, the residual cross-section is estimated; from
which engineers compute the acceptable design load capacity by normal AS1720.1 procedure.
Refer Manual No.2 (Leicester et.al. 2008) for the derivation of the design corrosion depth.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 26
2.6 Corrosion of Bolts
cb
Corrosion
It is known that bolted joints can form a very special case of embedded fastener, because they
are often placed in oversized holes pre-drilled into the timber, thus allowing moisture/water,
salt and oxygen to enter, a situation that does not occur with other fasteners. To provide some
sort of indication of the corrosion of bolts, an assumption is made that the worst corrosion
occurs near the neck of the bolt, and this is either due to the embedded corrosion mechanism
that is enhanced by water ingress into the bolt‟s hole; or due to atmospheric corrosion that is
enhanced if the connector is near a beach. The procedures are as follows,
To compute the corrosion depth due to the embedded corrosion, follow all the steps in
the procedure presented in Chapter 1. To consider the enhancing effect by water ingress
into the bolt‟s hole, the rain factor rain given in Table 1.4.2 is multiplied with a factor of
1.5.
To compute of the corrosion depth due to atmospheric corrosion that is enhanced if the
connector is near a beach, see Section 5.4 in Manual No. 5 (Nguyen et.al. 2008a).
The corrosion depth cb near the neck of the bolt is taken to be the higher of these two
computed corrosion values.
It is noted that from calculation results, the corrosion at bolt‟s necks/shanks appeared to be
governed by atmospheric corrosion in most cases. Details of the computed corrosion depth
due to atmospheric corrosion that is enhanced if the connector is near a beach are presented in
Section 5.4 of Manual 5 (Nguyen et.al. 2008a).
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 27
3. Data Fittings
3.1 Fittings & calibration with data of 2-year embedded nails exposed to in-service
conditions
The check and calibration of the model is made using data of corrosion on embedded nails,
which were derived from the results of 2-year exposure of nail joints at various locations in 8
houses in VIC, NSW, and QLD (Cole et.al., 1996a, 1996b, 2001, Ganther et.al. , 2000, 2001).
All 8 houses were located in hazard zone C on the embedded corrosion hazard zone map. The
data for Marine climate zone are from the two houses at Harbord (distance to coast = 0.6km)
and Narrabeen (distance to coast = 0.1km). The data for Non-marine climate zone are from
the rest, including the houses at Innisfail 1, Innisfail 2, Mt Buller, Naranderra, Pennant Hills,
and The Gap 18. The nail joints were exposed to 4 microclimates, including outdoor/exterior,
roof space, sub-floor, and wall cavities. Timbers tested are of many species/types, which are
grouped into the following types:
CCA treated pine: includes those described as „Treated pine‟, „H3‟, „H5‟
LOSP treated pine
Eucalypts: Mountain Ash, Spotted Gum
Hardwood: Brush Box
Softwood: Radiata Pine, Douglas Fir
Plywood
The nail joint test specimens consisted of pieces of the timbers 35 mm wide x 20 mm deep x
200 mm long. Each piece had the ends sealed with epoxy resin which was cured before
assembly. There were 4 types of commonly available nails used in the test; hot dip galvanised
41 mm long, zinc plated 31 mm long, blue processed nails 40 mm long and uncoated bright
nails 30 mm long with square copper nails used in some exposures. Processed nails are bright
nails covered with a light polymeric film. The details on nail dimensions are given in Table
3.1.1. The test specimens were constructed by nailing two pieces of each wood along its
length on the 35 mm flat with 3 samples of each type of nail. The separation between each
nail was at least 15 mm, allowing 12 nails per wood type, arranged in two offset lines. Figure
3.1.1 shows the typical nail joint specimen exposed to in-service conditions.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 28
Figure 3.1.1. Exposed nail joint specimens on façade (left) and in subfloor (right)
Table 3.1.1. Nail dimensions
Nail type Section
type
Shank
length (mm)
Diameter
(mm)
Coating
thickness (m)
Shank
surface area
Copper square 29.59 1.94 -- 237
Copper, long square 51.30 2.55 -- 523
Hot dipped round 39.3 2.40 111 296
Zinc Plate round 30.34 1.49 23 142
Process round 40.6 1.90 242
Bright round 28.5 1.94 -- 190
Bright, long round 39.28 1.95 -- 244
The test specimens were exposed for 2 years (or as close to 2 years as practical). Specimens
exposed on the facade of buildings were in general placed approximately 0.4-0.8 metres
below the eaves so that they were sheltered from both direct sunlight and direct rain. If it was
not possible to expose specimens under eaves an artificial shelter was constructed. Specimens
exposed in the sub-floor were generally exposed in a position a significant distance (more
than 2 m) away from any wall and were hung on wire from the floor joists so that they were
midway between joist and earth. Specimens exposed in wall cavities were placed in the cavity
above the sub-floor and thus were in general less than 0.5 m from the bottom of the cavity.
After exposure the nail joint specimens were returned to the laboratory and the nails were
extracted, assessed for extent of corrosion. The corrosion product was removed by cleaning in
acid to determine mass loss of the nails in g/year/m2. One-year-corrosion depth on the nail
shank then can be estimated as follows,
2
2
[g/year/m ] [ m/year] =
[g/m / m]
Mass lossOne year corrosion depth
Density
where the density of zinc is 7.1 g/cm3 (7.1 g/m
2/m), density of steel is 7.7 g/cm
3 (7.7
g/m2/m).
Page 30
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 29
3.1.1 Predictions using the 2002’s model
Figure 3.1.1.1 presents the checks, where the predictions were made by 2002‟s model in
Appendix D. As the result, the predictions overestimate the mean measurement.
0
5
10
15
20
0 5 10 15 20
Predicted corrosion rate (micron/year)
Typ
ical m
easu
red
co
rro
sio
n r
ate
(mic
ron
/year) Bright nail
Hot-dipped
Zinc-plate
0
5
10
15
20
0 5 10 15 20
Predicted corrosion rate (micron/year)T
yp
ical m
easu
red
co
rro
sio
n r
ate
(mic
ron
/year) Bright nail
Hot-dipped
Zinc-plate
Figure 3.1.1.1 Checks with 2-year embedded nails data outdoor using 2002‟s model . Left:
Marine sites, Right: Non-marine sites
3.1.2 Predictions of the nail corrosion in joints exposed outdoor using the current model
Figure 3.1.2.1 presents the checks, where the prediction were made by the final model in
Chapter 1, i.e. with the reduced factor of 2 for the corrosion rate and revised corrosion rate for
steel in CCA-treated timber, as explained in Chapter 2. As the result, the predictions
reasonably agree with the mean measurements. Note that the measured data are group-average
data.
Figure 3.1.2.2 presents the same checks, but using individual measured data. This comparison
between prediction and measurement data is used to estimate the coefficient of variation as
presented in Section 2.5.1. The data are in Table 3.1.2.1 and 3.1.2.2 (Cole, private
communication and internal reports).
Page 31
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 30
Outdoor, Marine
0
5
10
15
0 5 10 15
Predicted corrosion rate
(micron/year)
Ty
pic
al m
ea
su
red
co
rro
sio
n
rate
(m
icro
n/y
ea
r) Bright nail
Hot-dipped
Zinc-plate
Outdoor, Non-marine
0
5
10
15
0 5 10 15
Predicted corrosion rate
(micron/year)
Typ
ical
measu
red
co
rro
sio
n r
ate
(mic
ron
/year)
Bright nail
Hot-dipped
Zinc-plate
Figure 3.1.2.1 Checks with outdoor 2-year embedded nails group-averaged data using the
current model . Top: Marine sites, Bottom: Non-marine sites
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 31
0.0
4.0
8.0
12.0
16.0
20.0
0.00 4.00 8.00 12.00 16.00 20.00
Predicted
Measu
red
Steel
Hot-dipped zinc
Zinc-plated
0.0
4.0
8.0
12.0
0.00 4.00 8.00 12.00
Predicted
Me
asu
red
Steel
Hot-dipped zinc
Zinc-plated
Figure 3.1.2.2 Checks with outdoor 2-year embedded nails individual data using the current
model. Top: Marine sites, Bottom: Non-marine sites
Page 33
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 32
Table 3.1.2.1 Check with individual data of 2-year embedded nails outdoor – Marine sites
SiteSEMC
mean
SEMC
max
Hazard
Zone
Climate
zoneNail Timber
Wood
Type
MassLoss
g/m2/yr
1-year
Corrosion
Depth
(micron)
Prediction
2007
Harbord 15.41 16.227 C Marine bright H3 CCA 3 0.4 6.84
Narrabeen 15.454 16.284 C Marine bright H3 CCA 58 7.5 6.84
Harbord 15.41 16.227 C Marine bright H5 CCA 7 0.9 6.84
Narrabeen 15.454 16.284 C Marine bright H5 CCA 103 13.4 6.84
Narrabeen 15.454 16.284 C Marine bright Treated Pine CCA 90 11.7 6.84
Harbord 15.41 16.227 C Marine bright Mountain Ash E 2 0.3 7.69
Narrabeen 15.454 16.284 C Marine bright Mountain Ash E 61 7.9 7.69
Narrabeen 15.454 16.284 C Marine bright Spotted Gum E 9 1.2 7.69
Narrabeen 15.454 16.284 C Marine bright Brush Box H 21 2.7 4.40
Narrabeen 15.454 16.284 C Marine bright Douglas Fir S 76 9.9 3.30
Narrabeen 15.454 16.284 C Marine bright Radiata Pine S 72 9.4 3.30
Harbord 15.41 16.227 C Marine hot dip H3 CCA 10 1.4 6.84
Narrabeen 15.454 16.284 C Marine hot dip H3 CCA 38 5.4 6.84
Harbord 15.41 16.227 C Marine hot dip H5 CCA 11 1.5 6.84
Narrabeen 15.454 16.284 C Marine hot dip H5 CCA 70 9.9 6.84
Narrabeen 15.454 16.284 C Marine hot dip Treated Pine CCA 122 17.2 6.84
Harbord 15.41 16.227 C Marine hot dip Mountain Ash E 34 4.8 7.80
Narrabeen 15.454 16.284 C Marine hot dip Mountain Ash E 59 8.3 7.80
Narrabeen 15.454 16.284 C Marine hot dip Spotted Gum E 14 2.0 7.80
Narrabeen 15.454 16.284 C Marine hot dip Brush Box H 26 3.7 4.55
Narrabeen 15.454 16.284 C Marine hot dip Douglas Fir S 57 8.0 2.75
Narrabeen 15.454 16.284 C Marine hot dip Radiata Pine S 78 11.0 2.75
Harbord 15.41 16.227 C Marine zinc plate H3 CCA 5 0.7 6.84
Narrabeen 15.454 16.284 C Marine zinc plate H3 CCA 32 4.5 6.84
Harbord 15.41 16.227 C Marine zinc plate H5 CCA 4 0.6 6.84
Narrabeen 15.454 16.284 C Marine zinc plate H5 CCA 48 6.8 6.84
Narrabeen 15.454 16.284 C Marine zinc plate Treated Pine CCA 55 7.7 6.84
Harbord 15.41 16.227 C Marine zinc plate Mountain Ash E 15 2.1 7.80
Narrabeen 15.454 16.284 C Marine zinc plate Mountain Ash E 64 9.0 7.80
Narrabeen 15.454 16.284 C Marine zinc plate Spotted Gum E 4 0.6 7.80
Narrabeen 15.454 16.284 C Marine zinc plate Brush Box H 20 2.8 4.55
Narrabeen 15.454 16.284 C Marine zinc plate Douglas Fir S 29 4.1 2.75
Narrabeen 15.454 16.284 C Marine zinc plate Radiata Pine S 47 6.6 2.75
Page 34
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 33
Table 3.1.2.2 Check with individual data of 2-year embedded nails outdoor – Non-Marine
sites
SiteSEMC-
mean
SEMC-
max
Hazard
Zone
Climate
zoneNail Timber
Wood
Type
Mass
Loss
g/m2/yr
Measured
1-year
Corrosion
Depth
(m)
Model-
Prediction
corrosion
depth
(m)
Innisfail 1 17.3 18.4 C Non-marine bright H3 CCA 3 0.4 3.90
Innisfail 2 17.3 18.4 C Non-marine bright H3 CCA 20 2.6 3.90
Mt Buller 15.8 19.5 C Non-marine bright H3 CCA 39 5.1 3.90
Naranderra 18.1 22.5 C Non-marine bright H3 CCA 8 1.0 3.90
Pennant Hills 15.0 15.7 C Non-marine bright H3 CCA 4 0.5 3.90
Innisfail 1 17.3 18.4 C Non-marine bright H5 CCA 7 0.9 3.90
Innisfail 2 17.3 18.4 C Non-marine bright H5 CCA 8 1.0 3.90
Mt Buller 15.8 19.5 C Non-marine bright H5 CCA 17 2.2 3.90
Naranderra 18.1 22.5 C Non-marine bright H5 CCA 3 0.4 3.90
Pennant Hills 15.0 15.7 C Non-marine bright H5 CCA 8 1.0 3.90
Innisfail 1 17.3 18.4 C Non-marine bright Treated Pine CCA 9 1.2 3.90
Mt Buller 15.8 19.5 C Non-marine bright Treated Pine CCA 60 7.8 3.90
Naranderra 18.1 22.5 C Non-marine bright Treated Pine CCA 8 1.0 3.90
The Gap 18 15.3 16.0 C Non-marine bright Treated Pine CCA 1 0.1 3.90
Innisfail 1 17.3 18.4 C Non-marine bright Mountain Ash E 53 6.9 1.32
Innisfail 2 17.3 18.4 C Non-marine bright Mountain Ash E 72 9.4 1.32
Naranderra 18.1 22.5 C Non-marine bright Mountain Ash E 6 0.8 1.32
Pennant Hills 15.0 15.7 C Non-marine bright Mountain Ash E 1 0.1 1.32
Innisfail 1 17.3 18.4 C Non-marine bright Spotted Gum E 80 10.4 1.32
Innisfail 2 17.3 18.4 C Non-marine bright Spotted Gum E 43 5.6 1.32
Mt Buller 15.8 19.5 C Non-marine bright Spotted Gum E 16 2.1 1.32
Pennant Hills 15.0 15.7 C Non-marine bright Spotted Gum E 0.9 0.1 1.32
The Gap 18 15.3 16.0 C Non-marine bright Spotted Gum E 3 0.4 1.32
Innisfail 1 17.3 18.4 C Non-marine bright Brush Box H 11 1.4 0.75
Innisfail 2 17.3 18.4 C Non-marine bright Brush Box H 15 1.9 0.75
Mt Buller 15.8 19.5 C Non-marine bright Brush Box H 19 2.5 0.75
Naranderra 18.1 22.5 C Non-marine bright Brush Box H 1 0.1 0.75
Pennant Hills 15.0 15.7 C Non-marine bright Brush Box H 10 1.3 0.75
The Gap 18 15.3 16.0 C Non-marine bright Brush Box H 1 0.1 0.75
Innisfail 1 17.3 18.4 C Non-marine bright Douglas Fir S 8 1.0 0.57
Innisfail 2 17.3 18.4 C Non-marine bright Douglas Fir S 16 2.1 0.57
Mt Buller 15.8 19.5 C Non-marine bright Douglas Fir S 27 3.5 0.57
Naranderra 18.1 22.5 C Non-marine bright Douglas Fir S 2 0.3 0.57
Pennant Hills 15.0 15.7 C Non-marine bright Douglas Fir S 2 0.3 0.57
The Gap 18 15.3 16.0 C Non-marine bright Douglas Fir S 2 0.3 0.57
Innisfail 1 17.3 18.4 C Non-marine bright Radiata Pine S 27 3.5 0.57
Innisfail 2 17.3 18.4 C Non-marine bright Radiata Pine S 20 2.6 0.57
Mt Buller 15.8 19.5 C Non-marine bright Radiata Pine S 25 3.2 0.57
Naranderra 18.1 22.5 C Non-marine bright Radiata Pine S 5 0.6 0.57
The Gap 18 15.3 16.0 C Non-marine bright Radiata Pine S 4 0.5 0.57
Page 35
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 34
Table 3.1.2.2 (cont) Check with individual data of 2-year embedded nails outdoor – Non-
Marine sites
SiteSEMC-
mean
SEMC-
max
Hazard
Zone
Climate
zoneNail Timber
Wood
Type
Mass
Loss
g/m2/yr
Measured
1-year
Corrosion
Depth
(m)
Model-
Prediction
corrosion
depth
(m)
Innisfail 1 17.3 18.4 C Non-marine hot dip H3 CCA 14 2.0 2.14
Innisfail 2 17.3 18.4 C Non-marine hot dip H3 CCA 25 3.5 2.14
Mt Buller 15.8 19.5 C Non-marine hot dip H3 CCA 41 5.8 2.14
Naranderra 18.1 22.5 C Non-marine hot dip H3 CCA 14 2.0 2.14
Pennant Hills 15.0 15.7 C Non-marine hot dip H3 CCA 12 1.7 2.14
Innisfail 1 17.3 18.4 C Non-marine hot dip H5 CCA 21 3.0 2.14
Innisfail 2 17.3 18.4 C Non-marine hot dip H5 CCA 19 2.7 2.14
Mt Buller 15.8 19.5 C Non-marine hot dip H5 CCA 30 4.2 2.14
Naranderra 18.1 22.5 C Non-marine hot dip H5 CCA 9 1.3 2.14
Pennant Hills 15.0 15.7 C Non-marine hot dip H5 CCA 7 1.0 2.14
Innisfail 1 17.3 18.4 C Non-marine hot dip Treated Pine CCA 18 2.5 2.14
Mt Buller 15.8 19.5 C Non-marine hot dip Treated Pine CCA 43 6.1 2.14
Naranderra 18.1 22.5 C Non-marine hot dip Treated Pine CCA 15 2.1 2.14
The Gap 18 15.3 16.0 C Non-marine hot dip Treated Pine CCA 7 1.0 2.14
Innisfail 1 17.3 18.4 C Non-marine hot dip Mountain Ash E 45 6.3 5.42
Innisfail 2 17.3 18.4 C Non-marine hot dip Mountain Ash E 53 7.5 5.42
Naranderra 18.1 22.5 C Non-marine hot dip Mountain Ash E 13 1.8 5.42
Pennant Hills 15.0 15.7 C Non-marine hot dip Mountain Ash E 17 2.4 5.42
Innisfail 1 17.3 18.4 C Non-marine hot dip Spotted Gum E 68 9.6 5.42
Innisfail 2 17.3 18.4 C Non-marine hot dip Spotted Gum E 67 9.4 5.42
Mt Buller 15.8 19.5 C Non-marine hot dip Spotted Gum E 27 3.8 5.42
Pennant Hills 15.0 15.7 C Non-marine hot dip Spotted Gum E 5.9 0.8 5.42
The Gap 18 15.3 16.0 C Non-marine hot dip Spotted Gum E 11 1.5 5.42
Innisfail 1 17.3 18.4 C Non-marine hot dip Brush Box H 8 1.1 3.16
Innisfail 2 17.3 18.4 C Non-marine hot dip Brush Box H 15 2.1 3.16
Mt Buller 15.8 19.5 C Non-marine hot dip Brush Box H 7 1.0 3.16
Naranderra 18.1 22.5 C Non-marine hot dip Brush Box H 10 1.4 3.16
Pennant Hills 15.0 15.7 C Non-marine hot dip Brush Box H 14 2.0 3.16
The Gap 18 15.3 16.0 C Non-marine hot dip Brush Box H 5 0.7 3.16
Innisfail 1 17.3 18.4 C Non-marine hot dip Douglas Fir S 25 3.5 0.66
Innisfail 2 17.3 18.4 C Non-marine hot dip Douglas Fir S 21 3.0 0.66
Mt Buller 15.8 19.5 C Non-marine hot dip Douglas Fir S 21 3.0 0.66
Naranderra 18.1 22.5 C Non-marine hot dip Douglas Fir S 3 0.4 0.66
Pennant Hills 15.0 15.7 C Non-marine hot dip Douglas Fir S 6 0.8 0.66
The Gap 18 15.3 16.0 C Non-marine hot dip Douglas Fir S 7 1.0 0.66
Innisfail 1 17.3 18.4 C Non-marine hot dip Radiata Pine S 30 4.2 0.66
Innisfail 2 17.3 18.4 C Non-marine hot dip Radiata Pine S 28 3.9 0.66
Mt Buller 15.8 19.5 C Non-marine hot dip Radiata Pine S 13 1.8 0.66
Naranderra 18.1 22.5 C Non-marine hot dip Radiata Pine S 7 1.0 0.66
The Gap 18 15.3 16.0 C Non-marine hot dip Radiata Pine S 7 1.0 0.66
Page 36
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 35
Table 3.1.2.2 (cont) Check with individual data of 2-year embedded nails outdoor – Non-
Marine sites
SiteSEMC-
mean
SEMC-
max
Hazard
Zone
Climate
zoneNail Timber
Wood
Type
Mass
Loss
g/m2/yr
Measured
1-year
Corrosion
Depth
(m)
Model-
Prediction
corrosion
depth
(m)
Innisfail 1 17.3 18.4 C Non-marine zinc plate H3 CCA 12 1.7 2.14
Innisfail 2 17.3 18.4 C Non-marine zinc plate H3 CCA 11 1.5 2.14
Mt Buller 15.8 19.5 C Non-marine zinc plate H3 CCA 27 3.8 2.14
Naranderra 18.1 22.5 C Non-marine zinc plate H3 CCA 20 2.8 2.14
Pennant Hills 15.0 15.7 C Non-marine zinc plate H3 CCA 5 0.7 2.14
Innisfail 1 17.3 18.4 C Non-marine zinc plate H5 CCA 14 2.0 2.14
Innisfail 2 17.3 18.4 C Non-marine zinc plate H5 CCA 11 1.5 2.14
Mt Buller 15.8 19.5 C Non-marine zinc plate H5 CCA 20 2.8 2.14
Naranderra 18.1 22.5 C Non-marine zinc plate H5 CCA 10 1.4 2.14
Pennant Hills 15.0 15.7 C Non-marine zinc plate H5 CCA 2 0.3 2.14
Innisfail 1 17.3 18.4 C Non-marine zinc plate Treated Pine CCA 8 1.1 2.14
Mt Buller 15.8 19.5 C Non-marine zinc plate Treated Pine CCA 26 3.7 2.14
Naranderra 18.1 22.5 C Non-marine zinc plate Treated Pine CCA 6 0.8 2.14
The Gap 18 15.3 16.0 C Non-marine zinc plate Treated Pine CCA 4 0.6 2.14
Innisfail 1 17.3 18.4 C Non-marine zinc plate Mountain Ash E 57 8.0 5.42
Innisfail 2 17.3 18.4 C Non-marine zinc plate Mountain Ash E 63 8.9 5.42
Naranderra 18.1 22.5 C Non-marine zinc plate Mountain Ash E 7 1.0 5.42
Pennant Hills 15.0 15.7 C Non-marine zinc plate Mountain Ash E 4 0.6 5.42
Innisfail 1 17.3 18.4 C Non-marine zinc plate Spotted Gum E 51 7.2 5.42
Innisfail 2 17.3 18.4 C Non-marine zinc plate Spotted Gum E 50 7.0 5.42
Mt Buller 15.8 19.5 C Non-marine zinc plate Spotted Gum E 12 1.7 5.42
Pennant Hills 15.0 15.7 C Non-marine zinc plate Spotted Gum E 1.6 0.2 5.42
The Gap 18 15.3 16.0 C Non-marine zinc plate Spotted Gum E 7 1.0 5.42
Innisfail 1 17.3 18.4 C Non-marine zinc plate Brush Box H 14 2.0 3.16
Innisfail 2 17.3 18.4 C Non-marine zinc plate Brush Box H 15 2.1 3.16
Mt Buller 15.8 19.5 C Non-marine zinc plate Brush Box H 3 0.4 3.16
Naranderra 18.1 22.5 C Non-marine zinc plate Brush Box H 3 0.4 3.16
Pennant Hills 15.0 15.7 C Non-marine zinc plate Brush Box H 8 1.1 3.16
The Gap 18 15.3 16.0 C Non-marine zinc plate Brush Box H 3 0.4 3.16
Innisfail 1 17.3 18.4 C Non-marine zinc plate Douglas Fir S 6 0.8 0.66
Innisfail 2 17.3 18.4 C Non-marine zinc plate Douglas Fir S 7 1.0 0.66
Mt Buller 15.8 19.5 C Non-marine zinc plate Douglas Fir S 14 2.0 0.66
Naranderra 18.1 22.5 C Non-marine zinc plate Douglas Fir S 2 0.3 0.66
Pennant Hills 15.0 15.7 C Non-marine zinc plate Douglas Fir S 2 0.3 0.66
The Gap 18 15.3 16.0 C Non-marine zinc plate Douglas Fir S 2 0.3 0.66
Innisfail 1 17.3 18.4 C Non-marine zinc plate Radiata Pine S 15 2.1 0.66
Innisfail 2 17.3 18.4 C Non-marine zinc plate Radiata Pine S 8 1.1 0.66
Mt Buller 15.8 19.5 C Non-marine zinc plate Radiata Pine S 23 3.2 0.66
Naranderra 18.1 22.5 C Non-marine zinc plate Radiata Pine S 1 0.1 0.66
The Gap 18 15.3 16.0 C Non-marine zinc plate Radiata Pine S 3 0.42 0.66
Page 37
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 36
3.1.3 Predictions of the nail corrosion in joints within building envelope using the current
model
Figure 3.1.3.1 presents the checks between the measured corrosion rate of nail embedded in
nail joints tested in building envelope parts, including roof space, subfloor and wall cavity,
with the model prediction, which was made by the final model in Chapter 1. The purpose of
this check is to justify the model parameter for building envelope parts (Appendix D) that are
used in the score system (Section 4), which is used in Design Guide (Section 6).
Figure 3.1.3.1 is for the nails in roof-space; Figure 3.1.3.2 is for the nails in sub-floor; Figure
3.1.3.3 is for the nails in wall cavity.
Roofspace, Marine
0
5
10
15
0 5 10 15
Predicted corrosion rate
(micron/yr)
Typ
ical
measu
red
co
rro
sio
n
rate
(m
icro
n/y
r) Bright nail
Hot-dipped
Zinc-plate
Figure 3.1.2.1 Checks with 2-year embedded nails in roof-space using the current model
Page 38
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 37
Sub-floor, Marine
0
5
10
15
0 5 10 15Predicted corrosion rate
(micron/yr)
Typ
ical
measu
red
co
rro
sio
n
rate
(m
icro
n/y
r) Bright nail
Hot-dipped
Zinc-plate
Sub-floor, Non-marine
0
5
10
15
0 5 10 15
Predicted corrosion rate (micron/yr)
Ty
pic
al m
ea
su
red
co
rro
sio
n
rate
(m
icro
n/y
r) Bright nail
Hot-dipped
Zinc-plate
Figure 3.1.2.1 Checks with outdoor 2-year embedded nails in sub-floor using the current
model . Top: Marine sites, Bottom: Non-marine sites
Page 39
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 38
Wall cavity, Marine
0
5
10
15
0 5 10 15
Predicted corrosion rate (micron/yr)
Typ
ical
measu
red
co
rro
sio
n
rate
(m
icro
n/y
r) Bright nail
Hot-dipped
Zinc-plate
Wall-cavity, Non-marine
0
5
10
15
0 5 10 15Predicted corrosion rate
(micron/yr)
Typ
ical
measu
red
co
rro
sio
n
rate
(m
icro
n/y
r) Bright nail
Hot-dipped
Zinc-plate
Figure 3.1.2.1 Checks with outdoor 2-year embedded nails in wall cavity using the current
model . Top: Marine sites, Bottom: Non-marine sites
Page 40
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 39
3.2 Fitting with data from BRANZ Study Report of Embedded Corrosion Tests
Table 3.2.1 presented the data from in a BRANZ study report by Kear et al. (2006). There
were 2 tests, „Sandwich test‟ and „Panel Pin test‟, where corrosion of mild steel, hot-dipped-
galvanised (HDG) steel, and stainless steel were measured after 12 months (sandwich test) or
14 months (panel pin test) embedded in untreated, CCA-treated, and other preservative-
treated radiata pine timber. The tests were carried out in Lab conditioning rooms with
constant temperature and humidity. The Sandwich test was carried at 21oC and 98% of
relative humidity. The Panel Pin tests were also carried out at 21oC, but at 3 different levels of
relative humidity, including 75%, 90% and 98%, which, as measured and reported in the
study, correspond to average timber moisture contents of 10.5%, 17.9%, and 20.3%,
respectively.
Only data for mild steel and HDG in untreated and CCA-treated timber, which are related to
the model in this report, are presented in Table 3.2.1. The corrosion results were given in
terms of corrosion rate (m/year). Most of the results are determined from the plots in the
BRANZ report, where only few numerical results were given. In Table 3.2.1, it is noted that
the data from Panel Pin test at MC of 20.3% appeared to be inconsistent with the others. The
test gave much higher corrosion rate than the sandwich test did, although they are both
exposed to the same controlled condition, ie. at 21oC and 98% of relative humidity. We think
that at this condition with the configuration of the panel pin tests, it was possible that
condensation could have occurred on the protruding part of the pin and then dripped or
entered by capillary action into the pin hole, resulting in much higher local moisture content
of timber around the pin, and hence higher corrosion rate. The setup of the sandwich test did
not facilitate the condensation, and hence the test results are more reliable. In this section, we
will use the sandwich test results and the panel pin test results at lower MC for calibration,
and neglecting the panel pin test results at the highest MC of 20.3%.
Based on checking and calibrating the model with these data, the most important modification
to the model is for steel corrosion in CCA-treated wood. As a conclusion of the BRANZ
study, the zinc coatings were consistently shown to be more durable than mild steel in all
tests. This behaviour, however, was not observed clearly in the 120-day embedded test as
plotted in Figure C.4.3. To be consistent with the data observed, we re-develop the model for
steel in CCA-treated wood as follows,
The base model for 120-day corrosion of steel and zinc connectors embedded in CCA
treated wood is revised to be the same, see Section 2.4.2. This was due to the duration
of test, which was not long enough for the protective effect of zinc corrosion product
to work.
From Table 3.2.1, the ratio between average corrosion rate of steel and average
corrosion rate of zinc in CCA-treated wood ranges from 1.2 to 2.0, with an average of
1.6. The equation for corrosion rate of steel in CCA-treated wood is then revised to be
1.6 times the corrosion rate of zinc, as presented in Section 2.4.4.
This revision of steel corrosion rate in CCA-treated wood is also consistent with the
equation for corrosion depth over time, Eq.(2.4.3.1), which is
c = co tn (3.2.1)
where n=0.6 for zinc and n=1.0 for steel in treated wood. The corrosion rate is then
Page 41
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 40
o n
cc
t (3.2.2)
Consider the ratio between the corrosion rate of steel and the corrosion rate of zinc:
0.6
0, 0.4
1.0
0,
steel steel steel
zinc zinc zinc
c c t ct
c c t c
(3.3.3)
At t = 1/3 year, ie. 120 days, the corrosion of steel and zinc are the same, then
0.4
0,
0,
11.6
3
steel
zinc
c
c
The ratio is the same as the factor 1.6 obtained from the results of BRANZ test as
presented above.
The comparisons of the model (Section 1) to BRANZ test data are in Figures 3.2.1 to 3.2.4,
which show reasonable agreements.
Page 42
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 41
Zinc in UNTREATED
0
5
10
15
0 10 20 30 40
Timber MC%
Co
rro
sio
n r
ate
(
m/y
ear)
Sandwich-Zinc
Panel Pin-Zinc
CSIROmodel-zinc
Figures 3.2.1 Comparison of the model prediction of corrosion rate (Eq.(1.5.1)) vs timber MC
with BRANZ test data for zinc in untreated Radiata pine (Table 3.2.1)
Steel in UNTREATED
0
5
10
15
0 10 20 30 40
Timber MC%
Co
rro
sio
n r
ate
(
m/y
ear)
Sandwich-Steel
Panel Pin-Steel
CSIROmodel-steel
Figures 3.2.2 Comparison of the model prediction of corrosion rate (Eq.(1.5.1)) vs timber MC
with BRANZ test data of steel in untreated Radiata pine (Table 3.2.1)
Page 43
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 42
Zinc in CCA TREATED
0
10
20
30
0 10 20 30 40
Timber MC%
Co
rro
sio
n r
ate
(
m/y
ear)
Sandwich-Zinc
Panel Pin-Zinc
CSIROmodel-zinc
Figures 3.2.3 Comparison of the model prediction of corrosion rate (Eq.(1.6.1)) vs Timber
MC with BRANZ test data of zinc in treated Radiata pine (Table 3.2.1)
Steel in CCA TREATED
0
10
20
30
0 10 20 30 40
Timber MC%
Co
rro
sio
n r
ate
(
m/y
ear)
Sandwich-Steel
Panel Pin-Steel
CSIROmodel-steel
Figures 3.2.4 Comparison of the model prediction of corrosion rate (Eq.(1.6.2)) vs Timber
MC with BRANZ test data of steel in treated Radiata pine (Table 3.2.1)
Page 44
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 43
Table 3.2.1 Data of corrosion rate of metals from embedded tests in BRANZ Study Report (summarised from Kear et al. 2006)
BRANZ
Tests
Timber
MC %
STEEL corrosion rate (m/y) - Mild steel specimens ZINC corrosion rate (m/y) - HDG steel speciemens
Untreated CCA-treated
Untreated CCA-treated
Avg. H3.2 H4 H5 Avg. H3.2 H4 H5
Sandwich
Test 20.3% 3.4 17.8 13.2 17.2 23.0 3.2 10.8 11.0 10.9 10.4
Panel Pin
Test
20.3% 20.0 66.0 73.0 64.0 61.0 16.0 17.0 10.7 19.0 21.4
17.9% 4.0 3.5 2.2 4.2 4.1 2.0 2.9 1.2 2.0 5.4
10.5% 0.5 1.2 1.1 1.1 1.3 0.5 0.6 0.6 0.3 0.8
Page 45
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 44
3.3 Fitting with 120-day corrosion tests
This is a laboratory test where timber nail-joint specimens were put into conditioned
chambers to investigate the dependency of embedded corrosion on timber moisture contents
for various timber species and/or preservative treatments.
Chambers were established to give a range of constant relative humidity (RH) between 55%
to 100% and a range of temperature (T) between 15°C to 25°C. Salt solutions were used to
regulate RH. When Ca(NO3)2.4H2O, NaNO2, NaNO3, KCl, BaCl2 and K2SO4 salts and
distilled water are used then constant RH of 55, 66, 86, 92, 96 and 100% are established. At a
constant temperature of 20°C, the equilibrium Moisture Content (EMC) of the air is 11, 13,
16, 18, 20, 25, and 30%, respectively. The surface EMC (SEMC) of timber placed in these
chambers can be assumed to reach the air EMC instantly. The air was circulated in the
chambers to ensure that it is well mixed and that condition is uniform.
Timber nail-joint specimens were similar to that of the 2-year exposure test described in
Section 3.1. Timber species were Meranti, Karri, Kauri, Red Ironbark, Oregon, Mountain
Ash, Spotted Gum, BrushBox, Radiata Pine, treated Pine with LOSP, and CCA at H3 and H5
levels. Four types of nail were used, including bright steel, hot-dipped galvanised, zinc-plated,
and copper.
The timbers were put in the chambers, and be weighted once a week. Once their weights do
not change for 3 weeks, they (the whole piece of timber) were considered to reach EMC. Two
sticks of the same species were jointed by a series of nails to make the joint specimens. The
nails were weighted prior to nailing. A minimum of 3 nails for each type will be used for each
timber at each condition. The nail-joint specimens were then left in the chambers for 120
days.
After exposure the nail joint specimens were returned to the laboratory and the nails were
extracted, assessed for extent of corrosion. The corrosion product was removed by cleaning in
acid to determine mass loss of the nails in g/year/m2. One-year-corrosion depth on the nail
shank then can be estimated as follows,
2
2
[g/120days/m ] [ m/120days] =
[g/m / m]
Mass losscorrosion depth
Density
where the density of zinc is 7.1 g/cm3 (7.1 g/m
2/m), density of steel is 7.7 g/cm
3 (7.7
g/m2/m).
The data is presented in Table 3.3.1 (Cole, private communication and internal reports),
which was the same as that used for the base model in 2000 (Appendix C). This section
provides the final check of the data with the current model that has been revised considerably
since 2000. Figures 3.3.1 to 3.3.6 show the check, which justifies the base models presented
in Section 1.
Page 46
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 45
Pine: Radiata, Houn, Kauri (softwood class 2)
0
5
10
15
20
25
0 10 20 30
Timber Moisture Content (%)
Co
rro
sio
n
m/1
20d
ays
Steel
Zinc
Model-steel
Model-zinc
Figures 3.3.1 Check of the model with 120-day corrosion of nails in softwood class 2 timber.
Data from Table 3.3.1. Model Equation is (1.5.2).
Oregon Douglas Fir (softwood class 3)
0
5
10
15
20
25
0 10 20 30
Timber Moisture Content (%)
Co
rro
sio
n
m/1
20d
ays
Steel
Zinc
Model-steel
Model-Zinc
Figures 3.3.2 Check of the model with 120-day corrosion of nails in softwood class 3 timber.
Data from Table 3.3.1. Model Equation is (1.5.2).
Page 47
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 46
Merranti,MA,SP,BB,Karri (Hardwood class 2)
0
5
10
15
20
25
0 10 20 30
Timber Moisture Content (%)
Co
rro
sio
n
m/1
20d
ays
Steel
Zinc
Model-steel
Model-zinc
Figures 3.3.3 Check of the model with 120-day corrosion of nails in hardwood class 2 timber.
Data from Table 3.3.1. Model Equation is (1.5.2).
Red Ironbark (hardwood class 3)
0
5
10
15
20
25
0 10 20 30
Timber Moisture Content (%)
Co
rro
sio
n
m/1
20d
ays
Steel
Zinc
Model-steel
Model-zinc
Figures 3.3.4 Check of the model with 120-day corrosion of nails in hardwood class 3 timber.
Data from Table 3.3.1. Model Equation is (1.5.2).
Page 48
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 47
H3 Treated Radiata
0
5
10
15
20
25
0 10 20 30
Timber Moisture Content (%)
Co
rro
sio
n
m/1
20d
ays Steel
Zinc
Model
Figures 3.3.5 Check of the model with 120-day corrosion of nails in H3 CCA-treated Radiata
pine. Data from Table 3.3.1. Model Equation is (1.6.3).
H5 Treated Radiata
0
5
10
15
20
25
0 10 20 30
Timber Moisture Content (%)
Co
rro
sio
n
m/1
20d
ays Steel
Zinc
Model
Figures 3.3.6 Check of the model with 120-day corrosion of nails in H5 CCA-treated Radiata
pine. Data from Table 3.3.1. Model Equation is (1.6.3).
Page 49
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 48
Table 3.3.1 Data of 120-day embedded nail corrosion
Timber wood type pH EMC (%)
Bright nail
mass loss
(g/m2 per
120days)
Hot-dip
galvanised
nail mass
loss (g/m2
per
120days)
Steel
corrosion
depth
(micron/
120days)
Zinc
corrosion
depth
(micron/
120days)
Oregon Softwood 4.0 14.5 5 14 0.6 2.0
Oregon Softwood 4.0 15.5 1 24 0.1 3.4
Oregon Softwood 4.0 20.2 33 21 4.3 3.0
Douglas fir Softwood 4.2 10.8 1 13 0.1 1.8
Douglas fir Softwood 4.2 12.3 0.4 9 0.1 1.3
Douglas fir Softwood 4.2 14.9 1.3 15 0.2 2.1
Douglas fir Softwood 4.2 14.9 3.1 21 0.4 3.0
Douglas fir Softwood 4.2 17.7 22 49 2.9 6.9
Douglas fir Softwood 4.2 23.7 55 31 7.1 4.4
Douglas fir Softwood 4.2 26.8 88 42 11.4 5.9
Radiata pine Softwood 5.0 16.8 10 27 1.3 3.8
Radiata pine Softwood 5.0 24.0 19 29 2.5 4.1
Radiata pine Softwood 5.0 28.6 42 21 5.5 3.0
Radiata pine Softwood 5.0 23.2-90% 7 15 0.9 2.1
Radiata pine Softwood 5.0 27.7 12 14 1.6 2.0
Huon Pine Softwood 4.5 14.4 8 16 1.0 2.3
Huon Pine Softwood 4.5 18.3 11 20 1.4 2.8
Huon Pine Softwood 4.5 26.4 33 60 4.3 8.5
Kauri Softwood 5.1 15.5 2.9 27 0.4 3.8
Kauri Softwood 5.1 22.4 12.5 13 1.6 1.8
Meranti Hardwood 3.9 12.8 8 28 1.0 3.9
Meranti Hardwood 3.9 15.4 15 14 1.9 2.0
Meranti Hardwood 3.9 21.6 12 15 1.6 2.1
Brush box Hardwood 4.4 14 37 36 4.8 5.1
Brush box Hardwood 4.4 17.5 51 47 6.6 6.6
Brush box Hardwood 4.4 21 43 46 5.6 6.5
Karri Eucalyptus 4.0 15.6 43 53 5.6 7.5
Karri Eucalyptus 4.0 16.3 81 70 10.5 9.9
Karri Eucalyptus 4.0 22.9 98 63 12.7 8.9
Mountain Ash Eucalyptus 4.5 10.8 0.2 12 0.0 1.7
Mountain Ash Eucalyptus 4.5 12.2 1 17 0.1 2.4
Mountain Ash Eucalyptus 4.5 14.1 2 40 0.3 5.6
Mountain Ash Eucalyptus 4.5 14.8 47 98 6.1 13.8
Mountain Ash Eucalyptus 4.5 17.0 58 73 7.5 10.3
Mountain Ash Eucalyptus 4.5 22.0 68 51 8.8 7.2
Mountain Ash Eucalyptus 4.5 29.1 71 56 9.2 7.9
Mountain Ash Eucalyptus 4.5 27*-96% 23 24 3.0 3.4
Mountain Ash Eucalyptus 4.5 23.2*-90% 14 26 1.8 3.7
Page 50
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 49
Table 3.3.1 (cont) Data of 120-day embedded nail corrosion
Timber wood type pH EMC (%)
Bright nail
mass loss
(g/m2 per
120days)
Hot-dip
galvanised
nail mass
loss (g/m2
per
120days)
Steel
corrosion
depth
(micron/
120days)
Zinc
corrosion
depth
(micron/
120days)
Red Ironbark Eucalyptus 4.1 15.4 26 140 3.4 19.7
Red Ironbark Eucalyptus 4.1 18.2 152 151 19.7 21.3
Red Ironbark Eucalyptus 4.1 21.7 176 159 22.9 22.4
Spotted gum Eucalyptus 4.4 9.9 0 15 0.0 2.1
Spotted gum Eucalyptus 4.4 11.6 18 32 2.3 4.5
Spotted gum Eucalyptus 4.4 13.4 4 15 0.5 2.1
Spotted gum Eucalyptus 4.4 14.7 19 42 2.5 5.9
Spotted gum Eucalyptus 4.4 17.2 30 68 3.9 9.6
Spotted gum Eucalyptus 4.4 30
H3 Treated 10.8 0 7 0.0 1.0
H3 Treated 12.5 1.4 13 0.2 1.8
H3 Treated 15 3 29 0.4 4.1
H3 Treated 19.3 29 24 3.8 3.4
H3 Treated 28.0 108 81 14.0 11.4
H3 Treated 24.6* 27 32 3.5 4.5
H5 Treated 12.5 1 21 0.1 3.0
H5 Treated 13.9 1 8 0.1 1.1
H5 Treated 16.7 2 20 0.3 2.8
H5 Treated 20.2 51 35 6.6 4.9
H5 Treated 23.9 41 52 5.3 7.3
H5 Treated 28.7 90 124 11.7 17.5
H5*(8months) Treated 24.4 26 37 3.4 5.2
H5 (8 months) Treated 27 80 108 10.4 15.2
Treated pine Treated 17.2 10 24 1.3 3.4
Treated pine Treated 20.6 22 37 2.9 5.2
Treated pine Treated 27.6 75 41 9.7 5.8
LOSP Treated 10.4
LOSP Treated 12.2 1 23 0.1 3.2
LOSP Treated 14.7 1 15 0.1 2.1
LOSP Treated 16.6 11 23 1.4 3.2
LOSP Treated 20.8 3 9 0.4 1.3
LOSP Treated 23.2 11 16 1.4 2.3
LOSP Treated 27.2 26 30 3.4 4.2
Page 51
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 50
4. Hazard Score System
4.1 Definition of Hazard Scores
Table 4.1.1 gives the total hazard scores for various scenarios of the corrosion in embedded
fasteners. Derivation of this table is presented in Appendix A. Components of building
envelope, however, are included as they will be present in the Service Life Design Guide.
Table 4.1.1 Hazard scores for corrosion of embedded fasteners
Microclimate
Total scores for various microclimates
Zone A Zone B Zone C
Marine Other Marine Other Marine Other
Subfloor
Wall cavity
Roof space
14
12
11
12
12
9
16
14
13
14
14
11
18
16
15
16
16
13
Outdoors for fasteners other
than bolts
Sheltered / partly sheltered(1)
Exposed vertical surface(2)
Exposed horizontal surface(3)
19
20
22
12
13
15
22
25
30
15
18
23
25
31
40
18
24
33
Outdoors bolts
Sheltered / partly sheltered(1)
Exposed vertical surface(2)
Exposed horizontal surface(3)
19
21
24
12
14
17
23
27
35
16
20
28
26
35
49
19
28
42
(1) e.g. house cladding; (2)e.g. fencing; (3) e.g. decking
4.2 Definition of Hazard Class
For ease of application to service life prediction of various types of fastener, the selection of
hazard class limit have been decided to have the same limits for steel and zinc, but to have
different limits for types of wood. The definition of hazard classes and their boundaries in
terms of the total scores for embedded corrosion of fasteners have been chosen as shown in
Table 4.2.1 and illustrated in Figures 4.2.1 and 4.2.2 for zinc and steel fasteners, respectively.
It is noted that there are some revision from the 2002‟s score system (Appendix E), including
Untreated timber is divided into hardwood and softwood only
Expand the range of the middle hazard rating for untreated wood to capture
better the uncertainties around the „jumping‟ step, now is revised as a ramp, of
corrosion with moisture content.
Page 52
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 51
Table 4.2.1 Definition of hazard ratings
Hazard score
Hazard rating In untreated timber
CCA-
treated
timber Hardwoods Softwoods
<12
12~19
>19
na
na
<14
14~22
>22
na
na
<12
12~17
18~23
24~30
>30
HR1emb
HR2emb
HR3emb
HR4emb
HR5emb
Zinc in Eucalypts
0
5
10
15
20
25
30
0 5 10 15 20 25 30 35 40
Total Score
c0
H1 H2 H3
Zinc in Non-Euc. Hardwoods
0
5
10
15
20
25
30
0 5 10 15 20 25 30 35 40
Total Score
c0
H1 H2 H3
Zinc in Softwoods
0
5
10
15
20
25
30
0 5 10 15 20 25 30 35 40
Total Score
c0
H1 H2 H3
Zinc in CCA-treated Woods
0
10
20
30
40
50
0 5 10 15 20 25 30 35 40
Total Score
c0
H1 H2 H3 H4 H5
Figure 4.2.1. Hazard ratings for zinc fasteners embedded in different types of wood
(Data from Appendix B)
Page 53
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 52
Steel in Eucalypts
0
5
10
15
20
25
30
0 5 10 15 20 25 30 35 40
Total Score
c0
H1 H2 H3
Steel in Non-Euc. Hardwoods
0
5
10
15
20
25
30
0 5 10 15 20 25 30 35 40
Total Scorec
0
H1 H2 H3
Steel in Softwoods
0
5
10
15
20
25
30
0 5 10 15 20 25 30 35 40
Total Score
c0
H1 H2 H3
Steel in CCA-treated Woods
0
5
10
15
20
25
30
35
40
45
0 5 10 15 20 25 30 35 40
Total Score
c0
H1 H2 H3 H4 H5
Figure 4.2.2. Hazard ratings for steel fasteners embedded in different types of wood
(Data from Appendix B)
4.3 Derived c0 values for the Score System
Based on the theoretical values of c0 varying in each hazard class, representative values of c0
for the classes are estimated and presented in Tables 4.3.1 and 4.3.2 for zinc and steel,
respectively. Compared to the 2002 model, the assign c0 values for hazard classes are reduced
by a factor about 2, and then the c0 values for steel in CCA treated timber are also revised to
be about 1.6 times those for zinc, as the result from checks and calibration presented in
Section 3.
Page 54
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 53
Table 4.3.1 The first-year corrosion depth of embedded zinc fasteners
Hazard rating
c0 - the first-year corrosion depth of zinc
Untreated timber CCA-treated
timber Acidity Class 1 Acidity Class 2 Acidity Class 3
HR1emb
HR2emb
HR3emb
HR4emb
HR5emb
0
1.0
2.0
na
na
0
2.5
4.5
na
na
0
4.5
8.0
na
na
0
4.0
10.0
15.0
20.0
Table 4.3.2 The first-year corrosion depth of embedded steel fasteners
Hazard rating
c0 - the first-year corrosion depth of steel
Untreated timber CCA-treated
timber Acidity Class 1 Acidity Class 2 Acidity Class 3
HR1emb
HR2emb
HR3emb
HR4emb
HR5emb
0
1.5
3.0
na
na
0
4.5
6.0
na
na
0
7.5
10
na
na
0
7.0
15.0
25.0
32.0
4.4 Corrosion Depth
The corrosion depth, c, over the period t years is given by
c = co tn (4.4.1)
where co is the corrosion rate (m/year), or more precisely, the corrosion depth for the first
year. For fasteners embedded in untreated wood, n= 0.5 for zinc and n = 0.6 for steel. For
fasteners embedded in CCA-treated wood, n= 0.6 for zinc and n = 1.0 for steel.
4.5 Service life
The service-life life of a steel fastener is assumed to be the time at which all of the effective
zinc coasting, if any, and 30% of the original strength in steel, is lost. The life of a zinc
coating is assumed to be the time at which all of the effective zinc protection is lost. The
fasteners under consideration are assumed to be subject to bending moment; therefore the
decrease of fastener bending strength is proportional to the increase of corrosion depth. For
conservative calculation, the initial diameter of screws is taken at the root (i.e. excluding the
thread), and that of bolts is taken at the shank.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 54
5. Equations for the Draft Engineering Code
and TimberLife
5.1 Scope and Aplication
This Section provides the calculation procedures for the design corrosion depths on embedded
parts of metal fasteners, which can be used to estimate the corrosion depths for metal
fasteners used in any timber construction located anywhere in Australia.
5.2 Corrosion of Embedded Parts of Fasteners (Embedded Corrosion)
This Section provides the calculation procedures for the design corrosion depths on metal
fasteners‟ parts that are tightly embedded in wood, such as the shank of nails, screws, and
nailplate‟s teeth, as depicted in Figure 5.2.1.
The design corrosion depths is to be determined by
1design cc c V (5.2.1)
where
c is the mean depth of the loss in fastener cross-section due to embedded corrosion for
a chosen design life time. To evaluate the mean corrosion depths, the timber acidity
class and hazard zone of the structure location are obtained from Section 5.2.1. Timber
moisture content is estimated from Section 5.2.2. The mean corrosion depth is then
estimated using the procedure in Section 5.2.3 for fasteners embedded in untreated
wood, and Section 5.2.4 for fasteners embedded in CCA-treated wood.
Vc is the coefficient of variation of c, and is specified parameter related to the target
reliability level. The values of these parameters are set in Section 5.2.5.
Loss of section of embedded steel
c
Figure 5.2. 1 Embedded corrosion depth
5.2.1 Timber Acidity Classification and Hazard zones
Durability classification of timber is listed in Table 3.1.1.
Page 56
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 55
The hazard zone map is shown in Figure 5.2.1.1. Three hazard zones and their representative
mean annual surface equilibrium moisture content SEMCmean and the boundary SEMCmean are
in Table 5.2.1.1. Values of SEMCmean for major cities and towns in Australia are listed in
Table 3.2.1.
Table 5.2.1.1 Effective SEMCmean values for the 3 hazard zones
Zone SEMCmean
A
B
C
9
12
15
Figure 5.2.1.1 Embedded corrosion hazard zone map. Zone C is most hazardous.
Page 57
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 56
5.2.2 Moisture Content of Timber
The mean annual surface equilibrium moisture content, SEMCmean, is given in Table 5.2.1.1,
depending on hazard zones. For a specific location, refer to Table 3.2.1, where the values of
the SEMCmean of major cities and towns in Australia are listed. The mean seasonal moisture
content of a piece of timber, TMmean for one year is estimated as,
TMmean = exp(1.9 + 0.05 SEMCmean) (5.2.2.1)
The mean and maximum seasonal moisture contents of timber in building, BTMmax and
BTMmean, are:
mean mean climate rainBTM TM (5.2.2.2)
max mean mean0.1 BTM BTM D TM (5.2.2.3)
where the damping factor (D), the adjustment factors for the climate (climate) are given in
Tables 5.2.2.1. The adjustment factor for rain (rain) is given in Table 5.2.2.2.
Table 5.2.2.1 Damping factor and adjustment factor for climate
Climate zone D Δclimate
Marine*
Other
6.0
2.0
2.5
0.5
* Marine: if the distance to coast < 1 km
Table 5.2.2.2 Adjustment factor rain
Outdoor (Facades) rain
Hazard zone A Hazard zone B Hazard zone C
Sheltered / partly sheltered from rain
Vertical surface exposed to rain
Horizontal surface exposed to rain
0
1
3
1
4
9
2
8
17
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 57
5.2.3 Corrosion Depth of embedded fasteners in untreated wood
For the case of untreated wood, corrosion depth for the first year (mm), co is computed as
follows,
o 120 max 120 mean
1( ) 0.3 ( )
2c f BTM f BTM (5.2.3.1)
where f120(M) is the corrosion depth of connectors embedded in untreated wood for 120 days,
given as a function of timber moisture content M,
0
120 120 0 0 0
120 0
0 if ;
( ) 0.2 ( ) if ( +5%);
if ( +5%)
M M
f M C M M M M M
C M M
(5.2.3.2)
The function is illustrated in Figure 5.2.3.1. Values of C120 and M0 are listed in Table 5.2.3.1
depending on the timber acidity class and timber type.
Moisture content
of wood
M (%)
M0
C120
Corrosion depth (m)
f120(M)
In untreated wood
M0 +5%
Figure 5.2.3.1. Base model of embedded corrosion in untreated wood.
Table 5.2.3.1 Parameters of the corrosion model of embedded fasteners in untreated wood
Material Wood type
C120
M0 (%) Acidity
class 1
Acidity
class 2
Acidity
class 3
Zinc Hardwood 2.0 7.0 12.0 10
Softwood 4.0 5.0 6.0 15
Steel Hardwood 2.0 8.0 14.0 15
Softwood 2.0 6.0 10.0 15
The corrosion depth of embeeded fasteners in untreated wood, c, over the period t years is
computed by
c = co tn (5.2.3.3)
where n= 0.5 for zinc and n = 0.6 for steel.
Page 59
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 58
5.2.4 Corrosion Depth of Embedded Fasteners in CCA treated wood
For the case of CCA-treated wood, corrosion depth for the first year (mm), co is computed as
follows,
For Zinc o 120 mean1.3 ( )c f BTM (5.2.4.1)
For steel o 120 mean2.1 ( )c f BTM (5.2.4.2)
where f120(M) is the corrosion depth of connectors embedded in CCA-treated wood for 120
days, given by
0
120
0 0
0 if ;( )
0.7 ( ) if ;
M Mf M
M M M M
(5.2.4.3)
where M is moisture content, M0 = 12%. The function is illustrated in Figure 5.2.4.1.
Moisture content of wood
M (%) 12
C120
Corrosion depth (mm)
f120(M)
In CCA treated wood
wood
0.7
Figure 5.2.4.1. Base model of embedded corrosion in CCA-treated wood.
The corrosion depth of embedded fasteners in CCA-treated wood, c, over the period t years is
computed by
c = co tn (5.2.4.4)
where n= 0.6 for zinc and n = 1.0 for steel.
Page 60
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 59
5.2.5 Design Depth of Embedded Corrosion
The design depth of embedded corrosion, cdesign will be given by
1design cc c V (5.2.5.1)
where
c is the mean depth of the loss in fastener cross-section due to embedded corrosion,
computed by Eq.(5.2.3.3) or Eq.(5.2.4.4) for a chosen design life time.
Vc is the coefficient of variation of c. From available data, it is recommended that Vc =
2.0.
is specified parameter related to the target reliability level.
= 0.8 for normal consequence of failure elements.
= 0.4 for low consequence of failure elements.
From the design depth of embedded corrosion, the residual cross-section is estimated; from
which engineers compute the acceptable design load capacity by normal AS1720.1 procedure.
5.3 Corrosion of Bolts
cb
Corrosion
Figure 5.3.1 Depth of corrosion at the neck of the bolt
It is known that bolted joints can form a very special case of embedded fastener, because they
are often placed in oversized holes pre-drilled into the timber, thus allowing moisture/water,
salt and oxygen to enter, a situation that does not occur with other fasteners. To provide some
sort of indication of the corrosion of bolts, an assumption is made that the worst corrosion
occurs near the neck of the bolt, and this is either due to the embedded corrosion mechanism
that is enhanced by water ingress into the bolt‟s hole; or due to atmospheric corrosion that is
enhanced if the connector is near a beach. The procedures are as follows,
To compute the corrosion depth due to the embedded corrosion, follow the procedure in
Section 5.2, with a modification that the adjusted factor rain (Table 5.2.2.2) is
multiplied by factor of 1.5 to take into account the increasing of timber moisture content
due to water ingress into the bolt‟s holes.
To compute of the corrosion depth due to atmospheric corrosion that is enhanced if the
connector is near a beach, follow the procedure in Manual No.5.
The corrosion depth cb near the neck of the bolt is taken to be the higher of these two
computed corrosion values.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 60
6. Equations for the Design Guide
6.1 Hazard Zones
Figure 6.1.1. Hazard zone map
6.2 Climate Zones
Marine: if the distance to coast < 1 km
Other, ie. non-marine
6.3 Timber Acidity Classification
Timber acidity classification is in Table 6.3.3.
Page 62
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 61
Table 6.3.3 Natural acidity Classification
Standard
Australia
index
Trade name Botanical name Type Density Measured
pH
Natural
acidity
class
22 Ash, alpine Eucalyptus delegatensis E 650 3.6 3
25 Ash, Crow’s Flindersia australis H 950 5.1 1
30 Ash, mountain Eucalyptus regnans E 640 4.7 2
37 Ash, silvertop Eucalyptus sieberi E 862 3.5 3
- Balau (selangan batu) Shorea spp. H 900 - 2
- Bangkirai Shorea laevifolia H 850 - 2
65 Beech, myrtle Nothofagus cunninghamii H 705 - 2
- Belian (ulin) Eusideroxylon zwageri H 1000 - 2
84 Blackbutt Eucalyptus pilularis E 884 3.6 3
86 Blackbutt, New England Eucalyptus andrewsii E 850 - 3
87 Blackbutt, WA Eucalyptus patens E 849 - 3
88 Blackwood Acacia melanoxylon H 650 - 2
97 Bloodwood, red Corymbia gummifera E 900 3.6 3
90 Bloodwood, white Corymbia trachyphloia E 1023 - 3
109 Bollywood Litsea reticulata S 532 3.9 3
121 Box, brush Lophostemon confertus H 900 4.5 2
126 Box, grey Eucalyptus moluccana E 1105 3.5 3
127 Box, grey, coast Eucalyptus bosistoana E 1110 3.4 3
134 Box, long leaved Eucalyptus goniocalyx E 873 - 3
138 Box, red Eucalyptus polyanthemos E 1064 - 3
144 Box, steel Eucalyptus rummeryi E 0 - 3
145 Box, swamp Lophostemon suaveolens H 850 - 2
150 Box, yellow Eucalyptus melliodora E 1075 - 3
148 Box,white Eucalyptus albens E 1112 - 3
162 Brigalow Acacia harpophylla H 1099 - 2
165 Brownbarrel Eucalyptus fastigata E 738 3.3 3
167 Bullich Eucalyptus megacarpa E 640 - 3
- Calantas (kalantas) Toona calantas H 500 - 2
178 Candlebark Eucalyptus rubida E 750 - 3
73 Cedar, red, western Thuja plicata S 448 3.3 3
544 Cypress Callitris glaucophylla S 680 5.4 1
114 Fir, Douglas Pseudotsuga menziesii S 520 3.5 3
253 Gum, blue, southern Eucalyptus globulus E 900 - 3
254 Gum, blue, Sydney Eucalyptus saligna E 843 3.6 3
266 Gum, grey Eucalyptus propinqua E 1050 3.8 3
267 Gum, grey, mountain Eucalyptus cypellocarpa E 961 3.6 3
268 Gum, Maiden's Eucalyptus maidenii E 992 - 3
269 Gum, manna Eucalyptus viminalis E 814 - 3
272 Gum, mountain Eucalyptus dalrympleana E 700 - 3
281 Gum, red, forest Eucalyptus tereticornis E 737 4.2 2
281 Gum, red, river Eucalyptus camaldulensis E 913 - 3
284 Gum, rose Eucalyptus grandis E 753 5.1 1
286 Gum, salmon Eucalyptus salmonophloia E 1070 - 3
288 Gum, scribbly Eucalyptus haemastoma E 907 - 3
289 Gum, shining Eucalyptus nitens E 530 - 3
293 Gum, spotted Corymbia maculata E 988 4.5 2
294 Gum, sugar Eucalyptus cladocalyx E 1105 - 3
305 Gum, yellow Eucalyptus leucoxylon E 1008 - 3
310 Hardwood, Johnstone Backhousia bancroftii H 950 - 2
Page 63
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 62
River
- Hemlock, western Tsuga heterophylla S 500 4.9 2
322 Ironbark, grey Eucalyptus paniculata E 1110 4.0 3
325 Ironbark, red Eucalyptus sideroxylon E 1086 - 3
326 Ironbark, red (broad-
leaved) Eucalyptus fibrosa E 1116 - 3
327 Ironbark, red (narrow-
leaved) Eucalyptus crebra E 1046 4.0 3
336 Ironwood Cooktown Erythrophleum chlorostgchys H 1220 - 2
340 Jam, raspberry Acacia acuminata H 1038 - 2
341 Jarrah Eucalyptus marginata E 823 3.3 3
- Kapur Dryobalanops spp. H 750 3.3 3
344 Karri Eucalyptus diversicolor E 905 4.2 2
Keruing Dipterocarpus spp. H 750 5.1 1
173 Kwila Intsia bijuga H 825 - 2
- Mahogany, Philippine,
red, dark Shorea spp. H 650 - 2
- Mahogany, Philippine,
red, light
Shorea, Pentacme,
Parashorea spp. H 550 - 2
384 Mahogany, red Eucalyptus resinifera E 955 3.0 3
391 Mahogany, white Eucalyptus acmenoides E 993 3.5 3
391 Mahogany, white Eucalyptus umbra E 887 - 3
387 Mahonany, southern Eucalyptus botryoides E 919 - 3
411 Mallet, brown Eucalyptus astringens E 974 - 3
432 Marri Corymbia Calophylla E 855 3
- Meranti, red, dark Shorea spp. H 650 3.9 3
- Meranti, red, light Shorea spp. H 400 5.0 2
226 Mersawa (Garawa) Anisoptera thyrifera H 630 4.5 2
434 Messmate Eucalyptus obliqua E 722 3.2 3
435 Messmate, Gympie Eucalyptus cloeziana E 996 - 3
458 Oak, bull Allocasuarina luehmannii H 1050 - 2
240 Oak, white, American Quercus alba H 750 - 2
509 Peppermint, black Eucalyptus amygdalina E 753 - 3
510 Peppermint, broad
leaved Eucalyptus dives E 811 - 3
512 Peppermint, narrow
leaved Eucalyptus radiata E 822 3.2 3
515 Peppermint, river Eucalyptus elata E 804 - 3
529 Pine, black Prumnopitys amara S 500 - 2
533 Pine, caribbean Pinus caribaea S 550 3.9 3
534 Pine, celery-top Phyllocladus asplenifolius S 646 - 2
545 Pine, hoop Araucaria cunninghamii S 550 5.2 1
546 Pine, Huon Lagarostrobos franklinii S 520 4.6 2
548 Pine, kauri Agathis robusta S 503 - 2
549 Pine, King William Athrotaxis selaginoides S 400 - 2
559 Pine, radiata Pinus radiata S 540 4.8 2
561 Pine, slash Pinus elliotii S 650 - 2
- Ramin Gonystylus spp. H 650 5.2 1
326 Redwood Sequoia sempervirens S 400 - 2
332 Rosewood, New Guinea Pterocarpus indicus H 577 - 2
635 Satinay Syncarpia hillii H 838 - 2
668 Stringybark, Blackdown Eucalyptus sphaerocarpa E 1000 - 3
671 Stringybark, brown Eucalyptus capitellata E 838 - 3
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 63
676 Stringybark, red Eucalyptus macrorhyncha E 899 - 3
680 Stringybark, white Eucalyptus eugenioides E 856 - 3
681 Stringybark, yellow Eucalyptus muelleriana E 884 4 3
688 Tallowwood Eucalyptus microcorys E 990 3.5 3
- Taun Pometia pinnata H 700 - 2
369 Teak, Burmese Tectona grandis H 600 4.5 2
713 Tingle, red Eucalyptus jacksonii E 772 - 3
714 Tingle, yellow Eucalyptus guilfoylei E 900 - 3
720 Tuart Eucalyptus gomphocephala E 1036 - 3
723 Turpentine Syncarpia glomulifera H 945 3.5 3
747 Wandoo Eucalyptus wandoo E 1099 - 3
774 Woolybutt Eucalyptus longifolia E 1068 - 3
780 Yate Eucalyptus cornuta E 1100 - 3
788 Yertchuk Eucalyptus consideniana E 939 - 3
Page 65
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 64
6.4 Total Hazard Scores
Table 6.4.1 gives the total hazard scores for various scenarios of the corrosion in embedded
fasteners.
Table 6.4.1 Hazard scores for corrosion of embedded fasteners
Microclimates
Total Hazard scores
Zone A Zone B Zone C
Marine Other Marine Other Marine Other
Subfloor
Wall cavity
Roof space
14
12
11
12
12
9
16
14
13
14
14
11
18
16
15
16
16
13
Outdoor:
Sheltered / partly sheltered(1)
Vertical surface exposed to rain(2)
Horizontal surface exposed to rain(3)
19
21
24
12
14
17
23
27
35
16
20
28
26
35
49
19
28
42
(1) e.g. house cladding; (2) e.g. fencing, (3) e.g. decking
Note that for the Design Guide, where the Score System is used for estimating the corrosion:
The building envelope parts (roofspace, subfloor and wall cavity) are included with the
assumption that they are reasonably well ventilated.
The total hazard scores used for outdoor were actually those derived for bolts. This is a
conservative assumption as the total hazard scores for other fasteners are slightly lower
than those for bolts.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 65
6.5 Hazard Class
Table 6.5.1 Definition of hazard ratings for fasteners embedded in untreated timber
Hazard score
Hazard rating
Hardwoods Softwoods
<12
12~19
>19
<14
14~22
>22
HR1emb
HR2emb
HR3emb
Table 6.5.2 Definition of hazard ratings for fasteners embedded in CCA-treated timber
Hazard score Hazard rating
<12
12~17
18~23
24~30
>30
HR1emb
HR2emb
HR3emb
HR4emb
HR5emb
6.6 Derived c0 values
Representative values of c0 for the classes are estimated and presented in Tables 6.6.1 and
6.6.2 for zinc and steel, respectively.
Table 6.6.1 The first-year corrosion depth of embedded zinc fasteners
Hazard rating
c0 - the first-year corrosion depth of zinc
Untreated timber CCA-treated
timber Acidity Class 1 Acidity Class 2 Acidity Class 3
HR1emb
HR2emb
HR3emb
HR4emb
HR5emb
0
1.0
2.0
na
na
0
2.5
4.5
na
na
0
4.5
8.0
na
na
0
4.0
10.0
15.0
20.0
Table 6.6.2 The first-year corrosion depth of embedded steel fasteners
Hazard rating
c0 - the first-year corrosion depth of steel
Untreated timber CCA-treated
timber Acidity Class 1 Acidity Class 2 Acidity Class 3
HR1emb
HR2emb
HR3emb
HR4emb
HR5emb
0
1.5
3.0
na
na
0
4.5
6.0
na
na
0
7.5
10
na
na
0
7.0
15.0
25.0
32.0
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 66
6.7 Corrosion Depth
The corrosion depth, c, over the period t years is given by
c = co tn (6.7.1)
where n= 0.5 for zinc and n = 0.6 for steel in untreated timber; n= 0.6 for zinc and n = 1.0 for
steel in CCA-treated timber; co is corrosion depth for the first year (mm)
6.8 Service life
The service-life life of a steel fastener is assumed to be the time at which all of the effective
zinc coasting, if any, and 30% of the original strength in steel, is lost. The life of a zinc
coating is assumed to be the time at which all of the effective zinc protection is lost. The
fasteners under consideration are assumed to be subject to bending moment; therefore the
decrease of fastener bending strength is proportional to the increase of corrosion depth. For
conservative calculation, the initial diameter of screws is taken at the root (i.e. excluding the
thread), and that of bolts is taken at the shank.
Page 68
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 67
References
Ang AHS, Tang WH. Probability Concepts in Engineering: Emphasis on Applications to
Civil and Environmental Engineering. John Wiley & Sons, 2006.
Bootle, K.R. (1983). Wood in Australia – Types, Properties and Uses, McGraw Hill Book
Co., Sydney, Australia, pp. 62–67.
Cole, I.S., Ganther, W. and Norberg, P. (1996a). Estimation of the Moisture Condition of
Timber Framework in Australian Houses. Proceedings of 25th
Forest Products Research
Conference, CSIRO, Clayton, Australia, 18–21 November, Vol. 1: 10 pages.
Cole, I.S., Ganther, W.D. and Leicester, R.H. (2001). Processes Controlling the Microclimate
in Dwellings on the Eastern Seaboard of Australia. International Conference on Building
Envelope, Ottawa, Canada, 26-29 June 2001.
Cole, I.S., Ganther, W.D., Bradbury, A., & O'Brien, D.J. (1996b) 'Performance of connectors
in treated and untreated Radiata Pine exposed in different parts of the building
envelope', 25th Forest Products Research Conference, Melbourne, Australia, November
18-21, 1996, pp. paper 2/23.
Cole, I.S., Trinidad G.S., and Chan W.Y. (1999), Prediction of the impact of the environment
on timber components: A GIS-based approach, Proc. Durability of Building Materials
and Components 8 (DBMC8), Ottawa, Canada.
Cole, I.S., Private communication and internal data/reports.
David, R. (1994), Timber and Metal – The Connection, Proc. Pacific Engineering
Conference, Gold Coast, Australia, pp. 439–448.
Ganther, W.D., and Cole, I.S. (2000) Factors Controlling the Moisture Content of Timber in
the Building Envelope of Houses in a Number of Climate Zones, Proc. 26th
Forest
Products Research Conference, Clayton VIC, Australia
Ganther, W.D., Cole, I.S., and Leicester, R.H. (2001). Measurement of Microclimate in
Dwellings Along the Australian Eastern Seaboard. International Conference on
Building Envelope, Ottawa, Canada, 26-29 June 2001.
Kear G., Wu H-Z, and Jones MS. (2006). „The Corrosion of Metallic Fastener Materials in
Untreated, CCA-, CuAz-, and ACQ-based Timbers‟, BRANZ Study Report No. SR 153.
BRANZ Ltd, Judgeford, New Zealand.
Leicester, R.H, Foliente, G.C., Wang, C-H., Nguyen, M.N., Seath, C.A. and MacKenzie, C.,
(2002) Timber Durability Compendium, BCE Doc 02/062, CSIRO Building,
Construction & Engineering, Highett, Victoria, March.
Leicester, R.H., Ganther, W.D., Seath, S.A., Wang, C-H., Nguyen, M.N., Foliente, G.C. and
Cole, I.S. (2004). “Australian Houses: Monitoring and Predicting Microclimate and the
Durability of the Building Envelope,” Proceedings of the Conference on Woodframe
Housing Durability and Disaster Issues, Las Vegas, Nevada, USA, 4–6 October 2004.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 68
Leicester, R.H., Nguyen, M.N., and Wang, C-H. (2008) “Manual No. 2: Derivation of design
Equations for Use with AS1720.1.”, CSIRO Sustainable Ecosystems, available online at
Forest & Wood Products Australia website: www.fwpa.com.au.
Mackenzie, C. Private Communications
Nguyen, M.N., Leicester, R.H. and Wang, C-H. (2008a) “Manual No. 5: Atmospheric
corrosion of fasteners in timber structures.” CSIRO Sustainable Ecosystems, available
online at Forest & Wood Products Australia website: www.fwpa.com.au.
Nguyen, M.N., Leicester, R.H. and Wang, C-H. (2008b) “Manual No. 9: Service Life Models
for Timber Structure protected in Building Envelopes” CSIRO Sustainable Ecosystems,
available online at Forest & Wood Products Australia website: www.fwpa.com.au.
Siau , J.F. (1995) Wood: Influence of Moisture on Physical Properties. Dept of Wood Science
and Forest Products, Virginia Polytechnic Institute and State University, 1995,
227 pages.
Thornton, J.D., Johnson, G.C., and Nguyen, N-K. (1997). Revised CSIRO Natural Durability
Classification – In-ground Durability Ratings for Mature Outer Heartwood, CSIRO
Forestry and Forest Products, Clayton, Victoria, June.
TRADAC (1999). Species, Properties and Uses, Technical Data Sheet 16, Timber Research
& Development Advisory Council of Queensland, Brisbane, QLD.
Wang, C-H., and Leicester, R.H. (2008) “Manual No. 1: Processed Climate Data for Timber
Service Life Prediction Modelling”, CSIRO Sustainable Ecosystems, available online at
Forest & Wood Products Australia website: www.fwpa.com.au.
Page 70
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 69
APPENDIX A
Derivation of Score System to Estimate Timber Moisture Content
This section presents the development of the score system based on the model equations in
Appendix D for estimating the maximum moisture content of timber in buildings (BTMmax).
Further simplifications of the simplified theory presented in Appendix D are needed to
establish a simple linear score system to predict the moisture content of wood, as follows.
From Eqs. (D.4.3.1), (D.4.3.2), and (D.4.3.3), we get
TMmax = exp(2B) TMmean (A.1)
Consider the factor „exp(2B)‟ with B values from Table D.4.3.2
For hardwoods B = 0.050 then exp(2B) = 1.105
For softwoods B = 0.054 then exp(2B) = 1.114
For CCA-treated pine B = 0.045 then exp(2B) = 1.094
It can be seen that the factor „exp(2B)‟ does not change much, and has the average of 1.1.
Then approximately we have
TMmax = 1.1 TMmean (A.2)
Using Eqs.(A.2) and (2.4.3.4), Eq.(D.4.3.5) can be divided into 4 terms as follows,
max mean mean microclimate climate rain0.1 ( ) BTM TM D TM (A.3)
The 1st term TMmean depends mainly on hazard zone. Average values and variation range of
TMmean for untreated wood are listed in Table A.1, from which the score for hazard zones,
Scorehazard-zone, are set.
The 2nd
term depends mainly on the damping parameter D. The total average value of TMmean
(calculated for all possible cases – see Appendix B) is 11.8. Therefore, the 2nd
term can be
approximated as 1.2D. The score for the effects of this „damping term‟, Scoredamping, can be
determined as shown in Table A.2, where D values are from Table D.4.3.3.
The 3rd
and the 4th
terms can be used together to establish the score for microclimate,
Scoreclimate, due to climate effects. The two terms Δclimate and Δmicroclimate can be simply
summed together to give the score.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 70
The last term Δrain gives the score for rain effects, Scorerain, as given in Table A.4. Values of
Δrain are from Table D.4.3.4. For bolts, as presented in Section 1.8, the scores are 1.5 times
higher than those for other fasteners.
The total score is calculated as
Scoretotal = Scorehazard-zone + Scoredamping + Scoreclimate+ Scorerain (A.4)
With the way to establish the score system as presented above, the total score Scoretotal is also
the estimate of the maximum moisture content of wood in building (BTMmax). Figure A.1
shows the total score Scoretotal versus the BTMmax calculated by the timber moisture content
model in Section 1.2.2 for all possible combinations of climates at different hazard and
climate zones for different types of wood (see Appendix B). It can be seen that the score
approximates the moisture content quite well. The errors between BTMmax and the total score
are also shown in Table B.1, Appendix B. In all cases, the errors are quite small.
Table A.1 Scores for Hazard Zones determined from the term TMmean in Eq. (A.3)
Hazard zones Average of TMmean Variation range of
TMmean Scoreharzard-zone
A
B
C
9.8
11.4
13.3
9.6~9.9
11.3~11.5
13.3
9
11
13
Table A.2 Scores for microclimate determined by damping factor D
Microclimate
D
(from Table D.4.3.3) Scoredamping 1.2 D
Marine Other Marine Other
Sub-floor
Wall cavity
Roof space
Facades (Outdoor)
2.0
1.5
2.0
6.0
1.0
1.5
2.0
2.0
2.5
2.0
2.5
7.5
1.5
2.0
2.5
2.5
Table A.3 Scores for microclimate determined by climate adjusted factors
Microclimate Scoreclimate =
Δclimate + Δmicroclimate
Marine Other
Sub-floor
Wall cavity
Roof space
Outdoor:
2.5
0.5
-0.5
2.5
1.5
1.0
-2.5
0.5
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 71
Table A.4 Scores for the effect of rain determined by the rain adjustment factor
Outdoor (Facades)
Microclimate
Scorerain = rain
Hazard zone A Hazard zone B Hazard zone C
For fasteners other than bolts
Sheltered / partly sheltered from rain
Vertical surface exposed to rain
Horizontal surface exposed to rain
0
1
3
1
4
9
2
8
17
For bolts
Sheltered / partly sheltered from rain
Vertical surface exposed to rain
Horizontal surface exposed to rain
0
1.5
4.5
1.5
6
13.5
3
12
25.5
Table A.5 Total scores for corrosion of embedded fasteners calculated by Eq.(A.4)
Microclimate
Total scores for various microclimates
Zone A Zone B Zone C
Marine Other Marine Other Marine Other
Subfloor
Wall cavity
Roof space
14
12
11
12
12
9
16
14
13
14
14
11
18
16
15
16
16
13
Outdoors for fasteners other
than bolts
Sheltered / partly sheltered
Exposed vertical surface
Exposed horizontal surface
19
20
22
12
13
15
22
25
30
15
18
23
25
31
40
18
24
33
Outdoors bolts
Sheltered / partly sheltered
Exposed vertical surface
Exposed horizontal surface
19
21
24
12
14
17
23
27
35
16
20
28
26
35
49
19
28
42
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 72
0.0
10.0
20.0
30.0
40.0
50.0
0 10 20 30 40 50
Total Score (Score total )
BT
Mm
ax
Figure A.1. Maximum moisture content of timber in buildings (BTMmax) versus
total score (Scoretotal) – Data is from Table B.1, Appendix B.
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 73
APPENDIX B
MOISTURE CONTENTS & FIRST-YEAR CORROSION DEPTHS
FOR THEORETICAL CORROSION SCENARIOS
Table B.1 presents the calculation of timber moisture contents and the first-year corrosion
depths for all possible corrosion scenarios, which are made by combinations of different
microclimates with different hazard and climate zones for different types of wood in the
Timber Moisture content model in Section 1.2.2.
The total score determined by Eq.(A.4) to estimate the maximum moisture content of timber
in building as present in Section 4 is also provided. The error of the estimation is computed as
max
max
100
Total score BTMerror
BTM
(%) (C.1)
Page 76
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 75
Table B.1 Calculation of moisture contents and the first-year corrosion depths of all theoretical corrosion scenarios Hazard
Zone
SEMC
mean
SEMC
max rain
Wood
typeA B C120 M0 Micro-climate
Climate
ZoneD
climate
micro
TMmean TMmax BTMmean BTMmaxTotal
score
Error*
%
A 9 11 0 E 1.9 0.05 14 15 Subfloor Marine 2.0 2.0 0.5 10.49 11.59 12.99 15.19 14 -7.8
A 9 11 0 E 1.9 0.05 14 15 Subfloor Other 1.0 0.0 1.5 10.49 11.59 11.99 13.09 12 -8.3
A 9 11 0 E 1.9 0.05 14 15 Wall Marine 1.5 2.0 -1.5 10.49 11.59 10.99 12.64 11.5 -9.0
A 9 11 0 E 1.9 0.05 14 15 Wall Other 1.5 0.0 1.0 10.49 11.59 11.49 13.14 12 -8.7
A 9 11 0 E 1.9 0.05 14 15 Roof Marine 2.0 2.0 -2.5 10.49 11.59 9.99 12.19 11 -9.8
A 9 11 0 E 1.9 0.05 14 15 Roof Other 2.0 0.0 -2.5 10.49 11.59 7.99 10.19 9 -11.7
A 9 11 0 E 1.9 0.05 14 15 Outdoor no rain Marine 6.0 2.0 0.5 10.49 11.59 12.99 19.60 19 -3.1
A 9 11 0 E 1.9 0.05 14 15 Outdoor no rain Other 2.0 0.0 0.5 10.49 11.59 10.99 13.19 12 -9.0
A 9 11 1 E 1.9 0.05 14 15 Outdoor+rainV Marine 6.0 2.0 0.5 10.49 11.59 13.99 20.60 20 -2.9
A 9 11 1 E 1.9 0.05 14 15 Outdoor+rainV Other 2.0 0.0 0.5 10.49 11.59 11.99 14.19 13 -8.4
A 9 11 3 E 1.9 0.05 14 15 Outdoor+rainH Marine 6.0 2.0 0.5 10.49 11.59 15.99 22.60 22 -2.7
A 9 11 3 E 1.9 0.05 14 15 Outdoor+rainH Other 2.0 0.0 0.5 10.49 11.59 13.99 16.19 15 -7.4
A 9 11 0 H 1.9 0.05 8 15 Subfloor Marine 2.0 2.0 0.5 10.49 11.59 12.99 15.19 14 -7.8
A 9 11 0 H 1.9 0.05 8 15 Subfloor Other 1.0 0.0 1.5 10.49 11.59 11.99 13.09 12 -8.3
A 9 11 0 H 1.9 0.05 8 15 Wall Marine 1.5 2.0 -1.5 10.49 11.59 10.99 12.64 11.5 -9.0
A 9 11 0 H 1.9 0.05 8 15 Wall Other 1.5 0.0 1.0 10.49 11.59 11.49 13.14 12 -8.7
A 9 11 0 H 1.9 0.05 8 15 Roof Marine 2.0 2.0 -2.5 10.49 11.59 9.99 12.19 11 -9.8
A 9 11 0 H 1.9 0.05 8 15 Roof Other 2.0 0.0 -2.5 10.49 11.59 7.99 10.19 9 -11.7
A 9 11 0 H 1.9 0.05 8 15 Outdoor no rain Marine 6.0 2.0 0.5 10.49 11.59 12.99 19.60 19 -3.1
A 9 11 0 H 1.9 0.05 8 15 Outdoor no rain Other 2.0 0.0 0.5 10.49 11.59 10.99 13.19 12 -9.0
A 9 11 1 H 1.9 0.05 8 15 Outdoor+rainV Marine 6.0 2.0 0.5 10.49 11.59 13.99 20.60 20 -2.9
A 9 11 1 H 1.9 0.05 8 15 Outdoor+rainV Other 2.0 0.0 0.5 10.49 11.59 11.99 14.19 13 -8.4
A 9 11 3 H 1.9 0.05 8 15 Outdoor+rainH Marine 6.0 2.0 0.5 10.49 11.59 15.99 22.60 22 -2.7
A 9 11 3 H 1.9 0.05 8 15 Outdoor+rainH Other 2.0 0.0 0.5 10.49 11.59 13.99 16.19 15 -7.4
A 9 11 0 S 1.9 0.05 6 15 Subfloor Marine 2.0 2.0 0.5 10.49 11.59 12.99 15.19 14 -7.8
A 9 11 0 S 1.9 0.05 6 15 Subfloor Other 1.0 0.0 1.5 10.49 11.59 11.99 13.09 12 -8.3
A 9 11 0 S 1.9 0.05 6 15 Wall Marine 1.5 2.0 -1.5 10.49 11.59 10.99 12.64 11.5 -9.0
A 9 11 0 S 1.9 0.05 6 15 Wall Other 1.5 0.0 1.0 10.49 11.59 11.49 13.14 12 -8.7
A 9 11 0 S 1.9 0.05 6 15 Roof Marine 2.0 2.0 -2.5 10.49 11.59 9.99 12.19 11 -9.8
A 9 11 0 S 1.9 0.05 6 15 Roof Other 2.0 0.0 -2.5 10.49 11.59 7.99 10.19 9 -11.7
A 9 11 0 S 1.9 0.05 6 15 Outdoor no rain Marine 6.0 2.0 0.5 10.49 11.59 12.99 19.60 19 -3.1
A 9 11 0 S 1.9 0.05 6 15 Outdoor no rain Other 2.0 0.0 0.5 10.49 11.59 10.99 13.19 12 -9.0
A 9 11 1 S 1.9 0.05 6 15 Outdoor+rainV Marine 6.0 2.0 0.5 10.49 11.59 13.99 20.60 20 -2.9
A 9 11 1 S 1.9 0.05 6 15 Outdoor+rainV Other 2.0 0.0 0.5 10.49 11.59 11.99 14.19 13 -8.4
A 9 11 3 S 1.9 0.05 6 15 Outdoor+rainH Marine 6.0 2.0 0.5 10.49 11.59 15.99 22.60 22 -2.7
A 9 11 3 S 1.9 0.05 6 15 Outdoor+rainH Other 2.0 0.0 0.5 10.49 11.59 13.99 16.19 15 -7.4
A 9 11 0 CCA 1.9 0.05 0 12 Subfloor Marine 2.0 2.0 0.5 10.49 11.59 12.99 15.19 14 -7.8
A 9 11 0 CCA 1.9 0.05 0 12 Subfloor Other 1.0 0.0 1.5 10.49 11.59 11.99 13.09 12 -8.3
A 9 11 0 CCA 1.9 0.05 0 12 Wall Marine 1.5 2.0 -1.5 10.49 11.59 10.99 12.64 11.5 -9.0
A 9 11 0 CCA 1.9 0.05 0 12 Wall Other 1.5 0.0 1.0 10.49 11.59 11.49 13.14 12 -8.7
A 9 11 0 CCA 1.9 0.05 0 12 Roof Marine 2.0 2.0 -2.5 10.49 11.59 9.99 12.19 11 -9.8
A 9 11 0 CCA 1.9 0.05 0 12 Roof Other 2.0 0.0 -2.5 10.49 11.59 7.99 10.19 9 -11.7
A 9 11 0 CCA 1.9 0.05 0 12 Outdoor no rain Marine 6.0 2.0 0.5 10.49 11.59 12.99 19.60 19 -3.1
A 9 11 0 CCA 1.9 0.05 0 12 Outdoor no rain Other 2.0 0.0 0.5 10.49 11.59 10.99 13.19 12 -9.0
A 9 11 1 CCA 1.9 0.05 0 12 Outdoor+rainV Marine 6.0 2.0 0.5 10.49 11.59 13.99 20.60 20 -2.9
A 9 11 1 CCA 1.9 0.05 0 12 Outdoor+rainV Other 2.0 0.0 0.5 10.49 11.59 11.99 14.19 13 -8.4
A 9 11 3 CCA 1.9 0.05 0 12 Outdoor+rainH Marine 6.0 2.0 0.5 10.49 11.59 15.99 22.60 22 -2.7
A 9 11 3 CCA 1.9 0.05 0 12 Outdoor+rainH Other 2.0 0.0 0.5 10.49 11.59 13.99 16.19 15 -7.4
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Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 76
Hazard
Zone
SEMC
mean
SEMC
max rain
Wood
typeA B C120 M0 Micro-climate
Climate
ZoneD
climate
micro
TMmean TMmax BTMmean BTMmaxTotal
score
Error*
%
B 12 14 0 E 1.9 0.05 14 15 Subfloor Marine 2.0 2.0 0.5 12.18 13.46 14.68 17.24 16 -7.2
B 12 14 0 E 1.9 0.05 14 15 Subfloor Other 1.0 0.0 1.5 12.18 13.46 13.68 14.96 14 -6.4
B 12 14 0 E 1.9 0.05 14 15 Wall Marine 1.5 2.0 -1.5 12.18 13.46 12.68 14.60 13.5 -7.6
B 12 14 0 E 1.9 0.05 14 15 Wall Other 1.5 0.0 1.0 12.18 13.46 13.18 15.10 14 -7.3
B 12 14 0 E 1.9 0.05 14 15 Roof Marine 2.0 2.0 -2.5 12.18 13.46 11.68 14.24 13 -8.7
B 12 14 0 E 1.9 0.05 14 15 Roof Other 2.0 0.0 -2.5 12.18 13.46 9.68 12.24 11 -10.2
B 12 14 1 E 1.9 0.05 14 15 Outdoor no rain Marine 6.0 2.0 0.5 12.18 13.46 15.68 23.37 22 -5.9
B 12 14 1 E 1.9 0.05 14 15 Outdoor no rain Other 2.0 0.0 0.5 12.18 13.46 13.68 16.24 15 -7.7
B 12 14 4 E 1.9 0.05 14 15 Outdoor+rainV Marine 6.0 2.0 0.5 12.18 13.46 18.68 26.37 25 -5.2
B 12 14 4 E 1.9 0.05 14 15 Outdoor+rainV Other 2.0 0.0 0.5 12.18 13.46 16.68 19.24 18 -6.5
B 12 14 9 E 1.9 0.05 14 15 Outdoor+rainH Marine 6.0 2.0 0.5 12.18 13.46 23.68 31.37 30 -4.4
B 12 14 9 E 1.9 0.05 14 15 Outdoor+rainH Other 2.0 0.0 0.5 12.18 13.46 21.68 24.24 23 -5.1
B 12 14 0 H 1.9 0.05 8 15 Subfloor Marine 2.0 2.0 0.5 12.18 13.46 14.68 17.24 16 -7.2
B 12 14 0 H 1.9 0.05 8 15 Subfloor Other 1.0 0.0 1.5 12.18 13.46 13.68 14.96 14 -6.4
B 12 14 0 H 1.9 0.05 8 15 Wall Marine 1.5 2.0 -1.5 12.18 13.46 12.68 14.60 13.5 -7.6
B 12 14 0 H 1.9 0.05 8 15 Wall Other 1.5 0.0 1.0 12.18 13.46 13.18 15.10 14 -7.3
B 12 14 0 H 1.9 0.05 8 15 Roof Marine 2.0 2.0 -2.5 12.18 13.46 11.68 14.24 13 -8.7
B 12 14 0 H 1.9 0.05 8 15 Roof Other 2.0 0.0 -2.5 12.18 13.46 9.68 12.24 11 -10.2
B 12 14 1 H 1.9 0.05 8 15 Outdoor no rain Marine 6.0 2.0 0.5 12.18 13.46 15.68 23.37 22 -5.9
B 12 14 1 H 1.9 0.05 8 15 Outdoor no rain Other 2.0 0.0 0.5 12.18 13.46 13.68 16.24 15 -7.7
B 12 14 4 H 1.9 0.05 8 15 Outdoor+rainV Marine 6.0 2.0 0.5 12.18 13.46 18.68 26.37 25 -5.2
B 12 14 4 H 1.9 0.05 8 15 Outdoor+rainV Other 2.0 0.0 0.5 12.18 13.46 16.68 19.24 18 -6.5
B 12 14 9 H 1.9 0.05 8 15 Outdoor+rainH Marine 6.0 2.0 0.5 12.18 13.46 23.68 31.37 30 -4.4
B 12 14 9 H 1.9 0.05 8 15 Outdoor+rainH Other 2.0 0.0 0.5 12.18 13.46 21.68 24.24 23 -5.1
B 12 14 0 S 1.9 0.05 6 15 Subfloor Marine 2.0 2.0 0.5 12.18 13.46 14.68 17.24 16 -7.2
B 12 14 0 S 1.9 0.05 6 15 Subfloor Other 1.0 0.0 1.5 12.18 13.46 13.68 14.96 14 -6.4
B 12 14 0 S 1.9 0.05 6 15 Wall Marine 1.5 2.0 -1.5 12.18 13.46 12.68 14.60 13.5 -7.6
B 12 14 0 S 1.9 0.05 6 15 Wall Other 1.5 0.0 1.0 12.18 13.46 13.18 15.10 14 -7.3
B 12 14 0 S 1.9 0.05 6 15 Roof Marine 2.0 2.0 -2.5 12.18 13.46 11.68 14.24 13 -8.7
B 12 14 0 S 1.9 0.05 6 15 Roof Other 2.0 0.0 -2.5 12.18 13.46 9.68 12.24 11 -10.2
B 12 14 1 S 1.9 0.05 6 15 Outdoor no rain Marine 6.0 2.0 0.5 12.18 13.46 15.68 23.37 22 -5.9
B 12 14 1 S 1.9 0.05 6 15 Outdoor no rain Other 2.0 0.0 0.5 12.18 13.46 13.68 16.24 15 -7.7
B 12 14 4 S 1.9 0.05 6 15 Outdoor+rainV Marine 6.0 2.0 0.5 12.18 13.46 18.68 26.37 25 -5.2
B 12 14 4 S 1.9 0.05 6 15 Outdoor+rainV Other 2.0 0.0 0.5 12.18 13.46 16.68 19.24 18 -6.5
B 12 14 9 S 1.9 0.05 6 15 Outdoor+rainH Marine 6.0 2.0 0.5 12.18 13.46 23.68 31.37 30 -4.4
B 12 14 9 S 1.9 0.05 6 15 Outdoor+rainH Other 2.0 0.0 0.5 12.18 13.46 21.68 24.24 23 -5.1
B 12 14 0 CCA 1.9 0.05 0 12 Subfloor Marine 2.0 2.0 0.5 12.18 13.46 14.68 17.24 16 -7.2
B 12 14 0 CCA 1.9 0.05 0 12 Subfloor Other 1.0 0.0 1.5 12.18 13.46 13.68 14.96 14 -6.4
B 12 14 0 CCA 1.9 0.05 0 12 Wall Marine 1.5 2.0 -1.5 12.18 13.46 12.68 14.60 13.5 -7.6
B 12 14 0 CCA 1.9 0.05 0 12 Wall Other 1.5 0.0 1.0 12.18 13.46 13.18 15.10 14 -7.3
B 12 14 0 CCA 1.9 0.05 0 12 Roof Marine 2.0 2.0 -2.5 12.18 13.46 11.68 14.24 13 -8.7
B 12 14 0 CCA 1.9 0.05 0 12 Roof Other 2.0 0.0 -2.5 12.18 13.46 9.68 12.24 11 -10.2
B 12 14 1 CCA 1.9 0.05 0 12 Outdoor no rain Marine 6.0 2.0 0.5 12.18 13.46 15.68 23.37 22 -5.9
B 12 14 1 CCA 1.9 0.05 0 12 Outdoor no rain Other 2.0 0.0 0.5 12.18 13.46 13.68 16.24 15 -7.7
B 12 14 4 CCA 1.9 0.05 0 12 Outdoor+rainV Marine 6.0 2.0 0.5 12.18 13.46 18.68 26.37 25 -5.2
B 12 14 4 CCA 1.9 0.05 0 12 Outdoor+rainV Other 2.0 0.0 0.5 12.18 13.46 16.68 19.24 18 -6.5
B 12 14 9 CCA 1.9 0.05 0 12 Outdoor+rainH Marine 6.0 2.0 0.5 12.18 13.46 23.68 31.37 30 -4.4
B 12 14 9 CCA 1.9 0.05 0 12 Outdoor+rainH Other 2.0 0.0 0.5 12.18 13.46 21.68 24.24 23 -5.1
Page 78
Manual No. 6: Embedded Corrosion of Metal Fasteners in Timber Structures 77
Hazard
Zone
SEMC
mean
SEMC
max rain
Wood
typeA B C120 M0 Micro-climate
Climate
ZoneD
climate
micro
TMmean TMmax BTMmean BTMmaxTotal
score
Error*
%
C 15 17 0 E 1.9 0.05 14 15 Subfloor Marine 2.0 2.0 0.5 14.15 15.64 16.65 19.63 18 -8.3
C 15 17 0 E 1.9 0.05 14 15 Subfloor Other 1.0 0.0 1.5 14.15 15.64 15.65 17.14 16 -6.7
C 15 17 0 E 1.9 0.05 14 15 Wall Marine 1.5 2.0 -1.5 14.15 15.64 14.65 16.89 15.5 -8.2
C 15 17 0 E 1.9 0.05 14 15 Wall Other 1.5 0.0 1.0 14.15 15.64 15.15 17.39 16 -8.0
C 15 17 0 E 1.9 0.05 14 15 Roof Marine 2.0 2.0 -2.5 14.15 15.64 13.65 16.63 15 -9.8
C 15 17 0 E 1.9 0.05 14 15 Roof Other 2.0 0.0 -2.5 14.15 15.64 11.65 14.63 13 -11.1
C 15 17 2 E 1.9 0.05 14 15 Outdoor no rain Marine 6.0 2.0 0.5 14.15 15.64 18.65 27.59 25 -9.4
C 15 17 2 E 1.9 0.05 14 15 Outdoor no rain Other 2.0 0.0 0.5 14.15 15.64 16.65 19.63 18 -8.3
C 15 17 8 E 1.9 0.05 14 15 Outdoor+rainV Marine 6.0 2.0 0.5 14.15 15.64 24.65 33.59 31 -7.7
C 15 17 8 E 1.9 0.05 14 15 Outdoor+rainV Other 2.0 0.0 0.5 14.15 15.64 22.65 25.63 24 -6.4
C 15 17 17 E 1.9 0.05 14 15 Outdoor+rainH Marine 6.0 2.0 0.5 14.15 15.64 33.65 42.59 40 -6.1
C 15 17 17 E 1.9 0.05 14 15 Outdoor+rainH Other 2.0 0.0 0.5 14.15 15.64 31.65 34.63 33 -4.7
C 15 17 0 H 1.9 0.05 8 15 Subfloor Marine 2.0 2.0 0.5 14.15 15.64 16.65 19.63 18 -8.3
C 15 17 0 H 1.9 0.05 8 15 Subfloor Other 1.0 0.0 1.5 14.15 15.64 15.65 17.14 16 -6.7
C 15 17 0 H 1.9 0.05 8 15 Wall Marine 1.5 2.0 -1.5 14.15 15.64 14.65 16.89 15.5 -8.2
C 15 17 0 H 1.9 0.05 8 15 Wall Other 1.5 0.0 1.0 14.15 15.64 15.15 17.39 16 -8.0
C 15 17 0 H 1.9 0.05 8 15 Roof Marine 2.0 2.0 -2.5 14.15 15.64 13.65 16.63 15 -9.8
C 15 17 0 H 1.9 0.05 8 15 Roof Other 2.0 0.0 -2.5 14.15 15.64 11.65 14.63 13 -11.1
C 15 17 2 H 1.9 0.05 8 15 Outdoor no rain Marine 6.0 2.0 0.5 14.15 15.64 18.65 27.59 25 -9.4
C 15 17 2 H 1.9 0.05 8 15 Outdoor no rain Other 2.0 0.0 0.5 14.15 15.64 16.65 19.63 18 -8.3
C 15 17 8 H 1.9 0.05 8 15 Outdoor+rainV Marine 6.0 2.0 0.5 14.15 15.64 24.65 33.59 31 -7.7
C 15 17 8 H 1.9 0.05 8 15 Outdoor+rainV Other 2.0 0.0 0.5 14.15 15.64 22.65 25.63 24 -6.4
C 15 17 17 H 1.9 0.05 8 15 Outdoor+rainH Marine 6.0 2.0 0.5 14.15 15.64 33.65 42.59 40 -6.1
C 15 17 17 H 1.9 0.05 8 15 Outdoor+rainH Other 2.0 0.0 0.5 14.15 15.64 31.65 34.63 33 -4.7
C 15 17 0 S 1.9 0.05 6 15 Subfloor Marine 2.0 2.0 0.5 14.15 15.64 16.65 19.63 18 -8.3
C 15 17 0 S 1.9 0.05 6 15 Subfloor Other 1.0 0.0 1.5 14.15 15.64 15.65 17.14 16 -6.7
C 15 17 0 S 1.9 0.05 6 15 Wall Marine 1.5 2.0 -1.5 14.15 15.64 14.65 16.89 15.5 -8.2
C 15 17 0 S 1.9 0.05 6 15 Wall Other 1.5 0.0 1.0 14.15 15.64 15.15 17.39 16 -8.0
C 15 17 0 S 1.9 0.05 6 15 Roof Marine 2.0 2.0 -2.5 14.15 15.64 13.65 16.63 15 -9.8
C 15 17 0 S 1.9 0.05 6 15 Roof Other 2.0 0.0 -2.5 14.15 15.64 11.65 14.63 13 -11.1
C 15 17 2 S 1.9 0.05 6 15 Outdoor no rain Marine 6.0 2.0 0.5 14.15 15.64 18.65 27.59 25 -9.4
C 15 17 2 S 1.9 0.05 6 15 Outdoor no rain Other 2.0 0.0 0.5 14.15 15.64 16.65 19.63 18 -8.3
C 15 17 8 S 1.9 0.05 6 15 Outdoor+rainV Marine 6.0 2.0 0.5 14.15 15.64 24.65 33.59 31 -7.7
C 15 17 8 S 1.9 0.05 6 15 Outdoor+rainV Other 2.0 0.0 0.5 14.15 15.64 22.65 25.63 24 -6.4
C 15 17 17 S 1.9 0.05 6 15 Outdoor+rainH Marine 6.0 2.0 0.5 14.15 15.64 33.65 42.59 40 -6.1
C 15 17 17 S 1.9 0.05 6 15 Outdoor+rainH Other 2.0 0.0 0.5 14.15 15.64 31.65 34.63 33 -4.7
C 15 17 0 CCA 1.9 0.05 0 12 Subfloor Marine 2.0 2.0 0.5 14.15 15.64 16.65 19.63 18 -8.3
C 15 17 0 CCA 1.9 0.05 0 12 Subfloor Other 1.0 0.0 1.5 14.15 15.64 15.65 17.14 16 -6.7
C 15 17 0 CCA 1.9 0.05 0 12 Wall Marine 1.5 2.0 -1.5 14.15 15.64 14.65 16.89 15.5 -8.2
C 15 17 0 CCA 1.9 0.05 0 12 Wall Other 1.5 0.0 1.0 14.15 15.64 15.15 17.39 16 -8.0
C 15 17 0 CCA 1.9 0.05 0 12 Roof Marine 2.0 2.0 -2.5 14.15 15.64 13.65 16.63 15 -9.8
C 15 17 0 CCA 1.9 0.05 0 12 Roof Other 2.0 0.0 -2.5 14.15 15.64 11.65 14.63 13 -11.1
C 15 17 2 CCA 1.9 0.05 0 12 Outdoor no rain Marine 6.0 2.0 0.5 14.15 15.64 18.65 27.59 25 -9.4
C 15 17 2 CCA 1.9 0.05 0 12 Outdoor no rain Other 2.0 0.0 0.5 14.15 15.64 16.65 19.63 18 -8.3
C 15 17 8 CCA 1.9 0.05 0 12 Outdoor+rainV Marine 6.0 2.0 0.5 14.15 15.64 24.65 33.59 31 -7.7
C 15 17 8 CCA 1.9 0.05 0 12 Outdoor+rainV Other 2.0 0.0 0.5 14.15 15.64 22.65 25.63 24 -6.4
C 15 17 17 CCA 1.9 0.05 0 12 Outdoor+rainH Marine 6.0 2.0 0.5 14.15 15.64 33.65 42.59 40 -6.1
C 15 17 17 CCA 1.9 0.05 0 12 Outdoor+rainH Other 2.0 0.0 0.5 14.15 15.64 31.65 34.63 33 -4.7
Page 80
CSE 79
Appendix C:. Model Equations 2000
C.1. Introduction
This section presents the early version of the model (Cole, private communication / internal
reports) for corrosion of both hot-dipped zinc and bright steel fasteners, which are embedded
in untreated and CCA-treated timbers. The model for embedded corrosion uses wood acidity
as a starting point. Seasonal moisture content of the wood is used as the corroding parameter
indicator.
C.2 Timber Acidity
In this model it will be assumed that the corrosion of untreated timber is related to the acidity
of timber, defined as (7 pH), where pH is the acidity of free water in contact with the wood.
This is a new concept, and is introduced to make the design procedure more widely
applicable. Acidity is used as the basis of the corrosion model since it is the most easily
accessible parameter for corrosion of metal in contact with wood. It can be readily measured,
and in fact measured values are available for a large number of timber species.
A collection of acidity values derived from BCE measurements and reports by Davis (1994)
and Bootle (1983) are reported in Table C.2.1. It should be borne in mind that although the
measurement of wood acidity is quick, simple and straightforward it does show considerable
variability from piece to piece, and within the same piece of timber.
Table C.2.1. Reported pH values of timber species
Common Name Botanical Name BCE Bootle Davis
Suggested
Design
pH
Alder, brown Caldcluvia paniculosa 5.0 5.0
Ash, Alpine Eucalyptus delegatensis 3.6 3.6
Ash, Crow's Flindersia australis 5.1 5.1
Ash, English Fraxinus excelsoir 3.5-5.3 4.0
Ash, Silver Flindersia bourjotiana 5.1 5.1
Ash, Silvertop Eucalyptus sieberi 3.5 3.5
Ash, mountain Eucalyptus regnans 4.7 4.7
Balsa Ochroma pyramidale 5.4-7.2 6.0
Baltic, red Pinus sylvestris 4.3-4.6 4.5
Baltic, white 4.0-5.0 4.5
Bangalay 3.56 3.6
Bean, black Castanospermum australe 3.8-5.2 4.2
Beech Fagus spp? 4.5-5.9 5.0
Beech, European Fagus sylvatica 4.5-6.1 5.0
Page 81
CSE 80
Common Name Botanical Name BCE Bootle Davis
Suggested
Design
pH
Beech, negrohead Nothofagus moorei 4.6-5.1 5.0
Beech, silky Citronella moorie 5.7 5.7
Beech, white Gmelina dairympleana 4.6-5.0 4.8
Birch, white Schizomeria ovata 3.9-4.9 4.2
Blackbutt Eucalyptus pilularis 4.69 3.4 3.12-3.25 3.6
Bloodwood, red Eucalyptus gummifera 3.6 3.6
Bollywood Cinnamomum baileyanum 3.9 3.9
Box, grey Eucalyptus microcarpa 3.5 3.5
Coastal grey box Eucalyptus bosistoana 3.43 3.4
Brownbarrel Eucalyptus fastigata 3.3 3.3
Brush box Tristania conferta 4.6 3.9-4.6 4.55 4.5
Carabeen, yellow Sloanea woollsii 4.4 4.4
P. Caribae Pinus caribaea 5.31 5.3
Cedar, red, western Thuja plicata 2.9-4.0 2.9-4.7 3.3
Chestnut Castanea sativa 3.6 3.6
Coachwood Ceratopetalum apetalum 5.0 5.0
Cypress Cupressus macrocarpa 5.35 5.4
Elm Ulmus spp 6.0-7.2 6.0-7.2 6.2
Fir, Douglas Pseudotsuga menziesii 4.0 3.1-4.4 3.5
Douglas Fir, Oregon Pine Pseudotsuga menziesii 3.1-4.4 3.5
Geronggang 2.6 2.6
Gum, grey Eucalyptus canaliculata 3.8 3.8
Forest red gum Eucalyptus blakelyi 4.96 3.7 4.2
Rose gum Eucalyptus grandis 5.12 5.1
Mountain grey gum Eucalyptus cypellocarpa 3.57 3.6
Sydney Blue gum Eucalyptus saligna 3.6-4.2 3.65-3.80 3.6
Flooded gum Eucalyptus rudis 3.84 3.8
Spotted gum Eucalyptus citriodora 4.5 46-5.0 4.25-4.68 4.5
Hemlock, western Tsuga heterophylla 4.8-5.4 4.9
Hickory Carya spp 5.2 5.2
Iroko Chlorophora excelsa 5.2-7.2 5.5
Red ironbark Eucalyptus crebra 5.06 3.7 3.66 4.0
4.1 4.0
Grey ironbark Eucalyptus drepanophylla 5.82 3.7 4.88 4.0
Jarrah Eucalyptus marginata 3.0-3.7 3.0-3.7 3.3
Jelutong Dyera costulata 4.6 4.65 4.6
Kapur (Camphorwood) Cinnamomum oliveri 3.2-3.7 3.3
Karri Eucalyptus diversicolor 4.3 4.1 4.05 4.2
Kauri Agathis vitiensis 5.2 5.2
Kempas 3.6-4.6 4.0
Keruing Dipterocarpus genus 5.1 5.1
Larch, European Larix decidua 4.0 4.0
Lignum vitae Guaiacum officinale 3.6 3.6
LOSP 4.6 4.6
Mahogany, African Khaya ivorensis 4.5-5.1 4.7
Mahogany, brush Geissois benthamii 5.1 5.1
Mahogany, red Eucalyptus pellita 2.4-3.4 3.0
Mahogany, rose Dysoxylum fraseranum 4.0 4.0
Mahogany, white Eucalyptus acmenoides 3.9 3.24 3.5
Cuban mahogany Swietenia spp 2.75 2.7
Page 82
CSE 81
Common Name Botanical Name BCE Bootle Davis
Suggested
Design
pH
(sapwood)
(heartwood) 3.85 3.8
Maple, rose Cryptocarya erythroxylon 5.5 5.5
Maple, sugar Queensland? Flindersia brayleyana 5.0-5.8 5.4
Meranti Shorea spp 3.9 3.9
Meranti, red, light Shorea spp 4.3-6.1 5.2 5.0
Meranti, red, dark
(sapwood) Shorea spp 3.9-5.3 5.4 5.0
(heartwood) 3.85 3.9
Mercau Merbau? Pometia acuminata 4.3 4.3
Mersawa Anisoptera sp 4.3-4.6 4.5
Messmate Eucalyptus obliqua 3.2 3.2
Oak, European Quercus ilex 3.3-5.2 4.0
Oak, Japanese Quercus mongolica 3.2-4.7 3.8
Southern Silky Oak Grevilla robusta 4.95 4.9
Oregon Pseudotsuga taxifolia 3.9 3.9
Peppermint Eucalyptus radiata 3.15 3.2
Pine, cypress, white Callitris columellaris 5.7 5.7
Pine, hoop Araucaria cunninghamii 5.2 5.2
Pine, maritime Pinus pinaster 3.8 3.8 3.8
Pine, radiata Pinus radiata 5.0 4.0-4.8 4.8
Pine, Huon Dacrydium franklinii 4.6 4.6
Pine, caribbean Pinus caribaea 3.9 3.9
Pine, scots Pinus sylvestris 4.3-4.6 4.5
Poplar Populus spp 4.6-5.6 5.0
Ramin 5.2 5.25 5.2
Sacau (Fiji) 5.58 5.6
Sapote Calocarpus sapota 5.3-4.6 5.0
Sassafras Daphnandra dielsii 5.5 5.5
Seraya, white Shorea spp 5.0-5.5 5.3
Spruce, Sitka Oicea sitchensis 3.4-5.5 4.0
Sycamore Acer pseudoplatanus 4.3-6.0 5.0
Tallowwood Eucalyptus microcorys 3.6-3.8 3.55-3.56 3.5
Teak Tectona grandis 4.5 4.5
Turpentine Syncarpia glomulifera 3.6-3.9 3.21 3.5
Yellow stringybark Eucalyptus muellerana 4.73 3.62 4.0
Yellowwood Flindersia xanthoxyla 4.9-5.2 5.0
H3, CCA treated Radiata
pine 4.8 na
H5, CCA treated Radiata
pine 4.9 na
Page 83
CSE 82
C.3. Corrosion Model
C.3.1 The Base Corrosion Model
The base models was developed based on corrosion data of metals embedded in untreated and
treated timber at moisture content M for 120 days (Cole, internal reports – see Section 3.3).
The base models are shown in Figures (C.3.1) and (C.3.2) respectively. Specifically, the
metals herein refer to hot dipped galvanised zinc and bright steel. The corrosion depth at 120
days, denoted as f120(M) on the vertical axis is a function of the moisture content of the
timber. For untreated wood, under constant conditions, the corrosion is defined by a threshold
moisture content Mo. For values of M < Mo, f120(M) = 0; For values of M Mo, f120(M) = C120.
For treated wood, the corrosion depth is defined by a threshold moisture content Mo, and a
value of f120(M) that increase with the moisture content of the timber, M.
C.3.2 Parameters for Untreated Wood
For the case of connectors embedded in untreated wood, at constant moisture content over
120 days, the following equations are proposed; C120, in m is the depth of corrosion.
The corrosion model for connectors embedded in untreated wood subjected to 120 days
corrosion is then:
f120(M) = 0 if M < Mo (C.3.1)
f120(M) = C120 if M Mo (C.3.2)
where Mo and C120 are defined as follows by equations (C.3.3) to (C.3.10).
For zinc in hardwood, C120 = 0.150 exp{1.62 (7 pH)} (C.3.3)
For zinc in softwood, C120 = 3.19 exp{0.179 (7 pH)} (C.3.4)
For steel in hardwood, C120 = 0.120 exp{1.74 (7 pH)} (C.3.5)
For steel in softwood, C120 = 0.280 exp{1.19 (7 pH)} (C.3.6)
Where the value of pH used are given in Table C.2.1. The moisture threshold parameters Mo
(%) are set as follows:
For zinc in hardwood, Mo = 10 (C.3.7)
For zinc in softwood, Mo = 15 (C.3.8)
For steel in hardwood, Mo = 15 (C.3.9)
For steel in softwood, Mo = 20 (C.3.10)
The fit of the proposed model with the test data for various species is shown in Section C.4. It
is seen that the fit is reasonably good except for the case of Meranti species.
C.3.3 Parameters for CCA-Treated Wood
The model for of zinc connectors embedded in CCA treated wood is given by:
f120(M) = 0 if M < Mo (C.3.11)
f120(M) = 0.7 (M-10) if M Mo (C.3.12)
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CSE 83
where Mo = 10
The model for of steel connectors embedded in CCA treated wood is given by:
f120(M) = 0 if M < Mo (C.3.13)
f120(M) = 0.7 (M-13) if M Mo (C.3.14)
where Mo = 13
C.3.4 Moisture Content of Timber
Before the corrosion depth for an embedded fastener can be computed using the base models,
the moisture content of the timber, appropriate to the climate and microclimate must first be
calculated. A model for moisture content of timber was developed based on a test program
presented in Cole et.al., 1996a, 1999, Ganther et.al. , 2000.
Initially, the surface equilibrium moisture content (SEMC) for a given temperature and
humidity is calculated according to Bramhall‟s equation as follows:
ee 2
e
log ( /100) 0.0251log
17.884 0.0002362( 273) 0.1432( 273)
0.92 log 1.0327 0.000674( 273)
H
T TSEMC
T
(C.3.15)
where
T = the dry bulb temperature (C)
H = relative humidity (%)
The SEMC should be calculated every three hours, using data from a nearby Bureau of
Meteorology station. The three hourly data should then be averaged for each of the four
seasons, beginning with summer (i.e. December to February) to obtain values for each of the
four seasons, SEMCseason (i.e. SEMCsummer, SEMCautumn, SEMCwinter , SEMCspring). We assume
that the seasonal value of SEMC penetrates reasonably deep into the timber. From these four
values, we can compute SEMCmean, the mean annual value of the four seasonal moisture
contents, and SEMCmax, the maximum seasonal SEMC. Both of these values are required in
the embedded corrosion procedure, and can be derived from Bureau of Meteorology station
data. Alternatively, values of SEMCmean can be obtained from published maps in a variety of
sources, including some Australian Standards. A map of SEMCmean for Australia is shown in
Figure C.3.3. If maps of SEMCmax are not available, then for practical purposes, SEMCmax can
be computed directly from Bureau of Meteorology data or approximated as
(SEMCmean + 2) %. From these values, the moisture content of the timber can be calculated for
various exposure conditions. Let us define the following notation for the moisture content in a
piece of timber:
TM – the seasonal value of moisture content in a piece of timber
TMmax – the maximum value out of the four TM values for one year
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CSE 84
TMmean – the mean annual value of the four TM values for one year
The moisture content for a season of the exposed timber, TMseason, can be calculated using the
following:
season seasonexp TM A B SEMC (C.3.16)
where A and B are given in Table C.3.2. TM is then calculated for each of the seasons, using
the seasonal SEMC values and subsequently TMmax and TMmean are calculated. Finally, these
values are used to calculate the maximum and mean values of the moisture content in the
timber within the building of interest, by adjusting for the microclimate in the following
manner.
Let us define the following notation for timber inside a building:
BTM – the seasonal value of moisture content of timber in a building
BTMmax – the maximum value out of the four BTM values for one year
BTMmean – the mean annual value of the four BTM values for one year.
The moisture content of the timber in the building, BTM, can be calculated using the
following:
max mean max mean microclimate climateBTM TM D TM TM (C.3.17)
mean mean microclimate climateBTM TM (C.3.18)
The damping factor (D) and the adjustment factors for the climate (climate) and the
microclimate (microclimate) are given in Tables C.3.3 and C.3.4.
In Tables C.3.3 and C.3.4, the damping, climate and microclimate depend on a climate zone
classification of the building location. To derive this zone classification, the building location
is first defined in terms of a climate type according to Figure C.3.4, and then the step-by-step
procedure specified in Table C.3.5 is used to derive the climate zone.
C.3.5 Computation of Corrosion Depth
Now that the moisture content of the timber for the appropriate climate and microclimate has
been calculated, the corrosion depth, over a period of time can be computed.
The corrosion depth, c, over the period t years is given by
c = co tn (C.3.19)
where n= 0.5 for zinc and n = 0.6 for steel; co is corrosion depth for the first year.
For the case of untreated wood:
o 120 max 120 mean( ) 0.3 ( ) c f BTM f BTM (C.3.20)
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CSE 85
For the case of CCA-treated wood:
o 120 mean2.5 ( )c f BTM (C.3.21)
where f120 is defined by equations (C.3.1) to (C.3.14). The form of Eqs. (C.3.19) to (C.3.21) is
developed in Cole (internal reports).
Table C.3.2. Moisture content parameters A and B
Moisture Content
Parameter Hardwoods Softwoods CCA Treated Pine
A 1.84 1.78 2
B 0.05 0.054 0.045
Table C.3.3. Damping factor used in calculation of BTM
Climate Zone Damping, D
Sub-Floor Wall-cavity Roof-space Facades
TROPICAL 1.5 1.5 1.5 1
SUB-TROPICAL 1 1.5 2 1.5
TEMPERATE 1 1.5 2 3
INLAND 0.5 0.6 0.6 1
ALPINE 0.2 0.6 0.6 1
MARINE 2 1.5 2 6
Table C.3.4. Climate and Micro-climate adjustment factors used in calculation of BTM
Climate Zone climate microclimate
Sub-Floor Wall-
cavity
Roof-space Facades
TROPICAL 0 1.5 2 -4.5 0.5
SUB-TROPICAL 0 0.5 0.5 -5.0 0.5
TEMPERATE 0 0.5 0.5 -4.5 0.5
INLAND 0 0.5 0.5 -2.5 0.5
ALPINE 1 1.5 -0.5 -2.5 0.5
MARINE 2 0.5 -1.5 -2.5 0.5
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Table C.3.5. Definition of Climate Zone
Step 1. First: determine the climate type from the map in Figure C.3.4.
Step 2. Check if in MARINE Zone
If the distance to the coast < 1km then zone = MARINE
Step 3. Check if in ALPINE Zone
If the distance to the coast >1km
If climate type is temperate and elevation > 700m then zone = ALPINE
If climate type is tropical and elevation > 300m then zone = ALPINE
If climate type is sub-tropical and elevation > 250m then zone = ALPINE
Step 4. Check if in INLAND Zone
If the distance to the coast > 100 km
If climate type is sub-tropical–arid then zone = INLAND
If climate type is temperate –arid then zone = INLAND
Step 5. If not MARINE, ALPINE or INLAND, then:
If climate type is tropical then zone = TROPICAL
If climate type is sub-tropical then zone = SUBTROPICAL
If climate type is temperate then zone = TEMPERATE
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C 120
Moisture content of wood (%)
Corrosion function f120(M) 12
0 (
M 0
Figure C.3.1. Corrosion function f120(M) for timber embedded in untreated wood.
Moisture content of wood (%)
C orrosion function
f120(M)
M 0
Figure C.3.2. Corrosion function f120(M) for timber embedded in CCA treated wood.
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Figure 1.3.3. Annual mean surface moisture content of timber outdoors.
Cairns
Brisbane
Sydney
Canberra Albury
Melbourne
Hobart
Adelaide
Dubbo
Perth
Dalby
Darwin
Onslow Alice Springs
Mount Isa
10
10
10
11
11
11
12
12
12
12
12
15
15
1
5
15
14 14
13
9
9 9
9
11
16
13 13
14 13
13 14
13
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CSE 89
Figure C.3.4. Climate Type, used to derive Climate Zone by the procedure in Table C.3.5
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C.4 Data from nails embedded in timber for 120 days under constant moisture content
The data on nails embedded in timber for 120 days has been given in Section 3.3. This
Section provides the fitting of the data with the early version of the model presnted in this
appendix. The fitting function f120 in Section C.3 for the hot dipped galvanised zinc and for
bright steel are compared with the measured data. Data is shown in Figure C.4.1 for nails
embedded in hardwoods, in Figure C.4.2 for nails embedded in softwoods and in Figure C.4.3
for nails embedded in CCA treated timber. It is to be noted that the model predictions are
reasonably good for all cases except for the case of Meranti timber. This may be due to the
fact that Meranti is the trade name given to a mixture of more than 50 tropical species of
timber, and that quite different species may have been used in the measurements of acidity
and the nail corrosion rate. Data is in Table 3.3.1.
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Figure C.4.1. Comparison of corrosion model for embedded metal,
with test data for hardwoods.
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Figure C.4.1 (cont) Comparison of corrosion model for embedded metal,
with test data for hardwoods.
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MERANTI
0
5
10
15
20
25
30
0 10 20 30
Moisture content (%)
Co
rro
sio
n (
m /
12
0 d
ay
s)
Bright
Hot dip
zinc
Model
steel
model
Figure C.4.1 (cont) Comparison of corrosion model for embedded metal,
with test data for hardwoods.
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CSE 94
DOUGLAS FIR
0
5
10
15
20
0 10 20 30 40
moisture content (%)
co
rro
sio
n [
gm
/m2/1
20 d
ays]
steel
zinc
Steel model
Zinc model
Figure C.4.2 Comparison of corrosion model for embedded metal,
with test data for softwood timber.
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CSE 95
KAURI PINE
0
5
10
15
20
25
0 10 20 30
Moisture content (%)
Co
rro
sio
n (
m /
12
0 d
ay
s)
Bright
Hot dip
zinc
Model
steel
model
LOSP TREATED SOFTWOOD
0
5
10
15
20
25
0 10 20 30
Moisture content (%)
Co
rro
sio
n (
m /
12
0 d
ay
s)
Bright
Hot dip
zinc
Model
steel
model
Figure C.4.2 (cont) Comparison of corrosion model for embedded metal,
with test data for softwood timber.
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HUON PINE
0
5
10
15
20
25
0 10 20 30
Moisture content (%)
Co
rro
sio
n (
m /
12
0 d
ay
s)
Bright
Hot dip
zinc
Model
steel
model
Figure C.4.2 (cont) Comparison of corrosion model for embedded metal,
with test data for softwood timber.
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Figure C.4.3 Comparison of corrosion model for embedded metal,with test data for CCA
treated Radiata pine.
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Appendix D:. Model Equations 2002
D.1 Hazard Zones
To simplify the calculation procedure, 3 hazard zones, namely A, B and C; are created as
shown in Fig. D.1.1. This original map - similar to the SEMC map in Fig. C.3.3 - is plotted
from the SEMCmean data of the Bureau of Meteorology (BOM). However, there has been an
adjustment in the SEMCmean data due to the simplification of the climate zones. The
adjustment has been made to the tropical areas, which have latitudes less than 23˚ S. The
SEMCmean data in the tropical areas has been increased 1% to compensate for using the
simplified values of Δmicroclimate for climate zone „other‟, ie. non-marine, as in Table D.4.3.3.
This will be defined as the effective SEMC. The simplified climate zonation is presented in
the next section.
A B
C
Figure D.1.1. „Original‟ hazard zone map based on SEMCmean.
Furthermore, expert opinions (MacKenzie, private communication) suggested that zone C
should not be cut out along the coast near Brisbane. Figure D.1.2 is the modified map
currently used in the Compendium. The modification was made by adjusting the effective
SEMCmean at Gympie (BOM data point C62) from 12.38% to 13%. The boundary and the
zone effective SEMCmean values are in Table D.1.1.
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Figure D.1.2. Modified Hazard zone map based on effective SEMCmean - currently used in
the Compendium.
Table D.1.1 Effective SEMCmean values for the 3 hazard zones
Zone Zone effective
SEMCmean
Effective SEMCmean
used for boundary
A
B
C
9
12
15
10
13
D.2 Climate Zones
The climate zonation procedure with 6 zones as presented in Table 1.3.5 is simplified by
defining only 2 climate zones:
Marine: if the distance to coast < 1 km
Other, ie. non-marine
D.3 Material Grouping
See Section 2.3.2 for timber classification based on acidity.
D.4 Simplified Theory Equations
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This section provides the simplified version of the theoretical equations in Appendix C to be
used for the calculation in the 2002‟s Compendium (Leicester et.al. 2002).
D.4.1 The Base Model of Embedded corrosion in untreated wood
The corrosion depth of connectors embedded in untreated wood subjected to 120-day
corrosion, f120(M), is:
f120(M) = 0 if M < Mo (D.4.1.1)
f120(M) = C120 if M Mo (D.4.1.2)
where M is moisture content. The function is illustrated in Figure D.4.1.1. Table D.4.1.1 gives
parameters of the model calculated by Eqs.(1.3.3) to (1.3.10), using representative pH values
in Table D.3.2.
Moisture content of wood
M
M0
C120
Corrosion depth (mm)
f120(M)
In untreated wood
Figure D.4.1.1. Base model of embedded corrosion in untreated wood.
Table D.4.1.1 Parameters of the corrosion model of embedded fasteners in untreated wood
Parameter pH Zinc connector Steel connector
Hardwood Softwood Hardwood Softwood
C120
Acidity class 1
Acidity class 2
Acidity class 3
5.5
4.5
3.5
1.7
8.6
12.5*
4.2
5.0
6.0
1.6
9.3
16*
1.7
5.5
13*
M0 (%) 10 15 15 20 (*) Values adjusted to the available measured data. The values calculated from Eqs. (1.3.3), (1.3.5) and (1.3.6) are
unacceptable high (43.5, 53.0, and 18.0, respectively), where the assigned pH of 3.5 for acidity class 3 species
appear to be out of valid range of the equations.
D.4.2 The Base Model of Embedded Corrosion in CCA treated wood
The model for of zinc connectors embedded in CCA treated wood is given by:
f120(M) = 0 if M < 10 (D.4.2.1)
f120(M) = 0.7 (M-10) if M 10 (D.4.2.2)
The model for of steel connectors embedded in CCA treated wood is given by:
f120(M) = 0 if M < 13 (D.4.2.3)
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f120(M) = 0.7 (M-13) if M 13 (D.4.2.4)
where M is moisture content. The function is illustrated in Figure D.4.2.1.
Moisture content of wood
M (%) 10
C120
Corrosion depth (mm)
f120(M)
In CCA treated wood
wood
13
Zinc Steel
0.7
Figure D.4.2.1. Base model of embedded corrosion in CCA-treated wood.
D.4.3 Moisture Content of Timber
The surface equilibrium moisture content (SEMC) for a given temperature and humidity is
calculated according to Bramhall‟s equation as follows:
ee 2
e
log ( /100) 0.0251log
17.884 0.0002362( 273) 0.1432( 273)
0.92 log 1.0327 0.000674( 273)
H
T TSEMC
T
(D.4.3.0)
where
T = the dry bulb temperature (C)
H = relative humidity (%)
The SEMC can be calculated with time, using data from a nearby Bureau of Meteorology
station, and then be averaged to obtain SEMCmean, the mean annual value of the surface
moisture contents. From Eq.(1.3.16), the maximum and the mean seasonal moisture contents
of a piece of timber for one year are:
TMmean = exp[A + B SEMCmean] (D.4.3.1)
TMmax = exp[A + B SEMCmax] (D.4.3.2)
SEMCmax = SEMCmean +2 (D.4.3.3)
Where TMmax = the maximum value out of the four TM seasonal values of moisture content in
a piece of timber for one year, TMmean = the mean annual value of timber moisture content.
The mean surface equilibrium moisture content, SEMCmean, can be computed from BOM data
using the procedure above with Eq.(D.4.3.0); or taken the representative value given in Table
D.4.3.1. The moisture content parameters A and B are provided in Table D.4.3.2.
The maximum and mean seasonal moisture contents of timber in building, BTMmax and
BTMmean, are:
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mean mean microclimate climate rain BTM TM (D.4.3.4)
max mean max mean BTM BTM D TM TM (D.4.3.5)
where the damping factor (D), the adjustment factors for the climate (climate) and
microclimate (microclimate) are given in Tables D.4.3.3. Values in Table D.4.3.3 are based on
simplifying Tables 1.3.3 and 1.3.4, noting the adjustment for SEMCmean of 1% for all areas
above 23˚ S, i.e. roughly for all „tropical‟ areas as defined in Fig.1.3.4.
The adjustment factor for rain (rain) is given in Table D.4.3.4, and used only for outdoor
structures (facades), which is divided into 3 types: structures sheltered or partly sheltered
from rain (such as house cladding), vertical structures exposed to rain (such as fencing), and
horizontal structures exposed to rain (such as decking). Values of this factor are resulted from
the reality checks with expert opinions as presented in Section D.5. For other microclimates,
including sub-floor, wall cavity, and roof space, rain = 0.
For determining the above factors, it is necessary to know the Hazard zone and Climate zone
of the structure. The Hazard zonation and map are presented in Section D.1, and the Climate
zonation is presented in Section D.2
Table D.4.3.1 Mean surface equilibrium moisture content
Hazard zone SEMCmean
A
B
C
9
12
15
Table D.4.3.2 Moisture content parameters A and B
Moisture Content
Parameter Hardwoods Softwoods CCA Treated Pine
A 1.84 1.78 2.00
B 0.05 0.054 0.045
Table D.4.3.3 Damping factor and adjustment factor for climate and micro-climate
Microclimate D Δclimate Δmicroclimate
Marine(1)
Other Marine Other Marine Other
Sub-floor
Wall cavity
Roof space
Outdoor
2.0
1.5
2.0
6.0
1.0
1.5
2.0
2.0
2.0
2.0
2.0
2.0
0
0
0
0
0.5
-1.5
-2.5
0.5
1.5
1.0
-2.5
0.5 (1) If distance to coast < 1km, then climate zone is „Marine‟; otherwise, climate zone is „Other‟
Table D.4.3.4 Adjustment factor rain
Outdoor (Facades)
Microclimate
Adjustment factor rain
Hazard zone A Hazard zone B Hazard zone C
Sheltered / partly sheltered from rain
Vertical surface exposed to rain
Horizontal surface exposed to rain
0
1
3
1
4
9
2
8
17
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D.4.4 Corrosion Depth
The corrosion depth, c, over the period t years is given by
c = co tn (D.4.4.1)
where n= 0.5 for zinc and n = 0.6 for steel; co is corrosion depth for the first year (mm)
computed as follows,
For the case of untreated wood:
o 120 max 120 mean( ) 0.3 ( ) c f BTM f BTM (D.4.4.2)
For the case of treated wood:
o 120 mean2.5 ( )c f BTM (D.4.4.3)
where f120 is defined by Eqs. (D.4.1.1) and (D.4.1.2) for untreated wood case and
Eqs.(D.4.2.1) to (D.4.2.4) for CCA treated wood case.
D.5 Modification due to Expert Opinions
The following facts provided by expert opinions (MacKenzie, 2002) have been considered to
further extend and calibrate the score system for outdoor structures. They are:
„A HDG (Hot-Dip Galvanised) nail in a treated pine deck exposed to rain in Brisbane
would be expected to last about 15 years, on a fence we would expect 25 years. For
plain bright nail, probably 5 years less‟.
„For plain nails in Hardwoods fencing up here (Brisbane) I would expect about 30 years
and for HDG nails in exposed hardwood decking around 30 years‟.
„Plain nails punched, puttied and pained cladding on houses, hardwood or cypress
cladding/frame > 100 years‟
„For treated pine cladding on houses fixed with HDG nails, would expect 50+ years‟
The extension and calibration of the score system were carried out for outdoor microclimate.
The outdoor structures are divided into 3 groups: (1) Sheltered / partly sheltered to rain, (2)
Exposed to rain - Vertical surface (e.g. fencing) and (3) Exposed to rain - Horizontal surface
(e.g. decking). The target of the calibration was to match the computed service lives of the
fasteners to the above facts provided by the expert opinions.
The extension and calibration were resulted in the introduction of the adjustment factor for
rain, rain, to the theory equations, and its recommended values are listed in Table D.4.3.4.
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Appendix E:. Hazard Score System 2002
E.1 Definition of Hazard Scores
Table E.1.1 gives the total hazard scores for various scenarios of the corrosion in embedded
fasteners. Derivation of this table is presented in Appendix A.
Table E.1.1 Hazard scores for corrosion of embedded fasteners as used in the 2002
Compendium (Leicester et.al. 2002)
Microclimate(1)
Total Hazard scores
Zone A(2)
Zone B(2)
Zone C(2)
Marine(3)
Other Marine Other Marine Other
Subfloor
Wall cavity
Roof space
14
12
11
12
12
9
16
14
13
14
14
11
18
16
15
16
16
13
Outdoors
Sheltered / partly sheltered (4)
Exposed vertical surface(5)
Exposed horizontal surface(6)
19
20
22
12
13
15
22
25
30
15
18
23
25
31
40
18
24
33
(1) For information on the building envelope, see Section 5.1 in the 2002 Compendium
(2) See hazard zone map in Figure D.1.2
(3) Climate zone is „Marine‟ when distance to coast < 1km
(4) e.g. house cladding
(5) e.g. fencing
(6) e.g. decking
E.2 Definition of Hazard Class
For ease of application to service life prediction of various types of fastener, the selection of
hazard class limit have been decided to have the same limits for steel and zinc, but to have
different limits for types of wood. The definition of hazard classes and their boundaries in
terms of the total scores for embedded corrosion of fasteners have been chosen as shown in
Table E.2.1 and illustrated in Figures E.2.1 and E.2.2 for zinc and steel fasteners, respectively.
It is noted that to have the same hazard class limits for both zinc and steel fasteners embedded
in untreated wood, the hazard class H3 acts as a „buffer‟ class located near or right at the
„jumping steps‟ of the theoretical values of c0. This is somewhat a compromising solution for
practical uses, and justified because such sudden jumping steps of c0 would not be true in
reality.
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Table E.2.1 Definition of hazard ratings
Hazard rating
Hazard score
In untreated timber CCA-treated
timber Eucalypts Other
hardwoods Softwoods
H1
H2
H3
H4
H5
na
<12
12~15
>15
na
na
<12
12~15
>15
na
na
<16
16~20
>20
na
<12
12~17
18~23
24~30
>30
Zinc in Eucalypts
0
5
10
15
20
25
30
0 5 10 15 20 25 30 35 40
Total Score
c0
H2 H3 H4
Zinc in Non-Euc. Hardwoods
0
5
10
15
20
25
30
0 5 10 15 20 25 30 35 40
Total Score
c0
H2 H3 H4
Zinc in Softwoods
0
5
10
15
20
25
30
0 5 10 15 20 25 30 35
Total Score
c0
H2 H3 H4
Zinc in CCA-treated Woods
0
5
10
15
20
25
30
35
40
45
0 5 10 15 20 25 30 35 40
Total Score
c0
H1 H2 H3 H4 H5
Figure E.2.1. Hazard ratings for zinc fasteners embedded in different types of wood
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Steel in Eucalypts
0
5
10
15
20
25
30
0 5 10 15 20 25 30 35 40
Total Score
c0
H2 H3 H4
Steel in Non-Euc. Hardwoods
0
5
10
15
20
25
30
0 5 10 15 20 25 30 35 40
Total Score
c0
H2 H3 H4
Steel in Softwoods
0
5
10
15
20
25
30
0 5 10 15 20 25 30 35 40
Total Score
c0
H2 H3 H4
Steel in CCA-treated Woods
0
5
10
15
20
25
30
35
40
45
0 5 10 15 20 25 30 35 40
Total Score
c0
H1 H2 H3 H4 H5
Figure E.2.2. Hazard ratings for steel fasteners embedded in different types of wood
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E.3 Derived c0 values for the 2002 Compendium (Leicester et.al. 2002)
Based on the theoretical values of c0 varying in each hazard class, representative values of c0
for the classes are assumed and presented in Tables E.3.1 and E.3.2 for zinc and steel,
respectively.
Table E.3.1 The first-year corrosion depth of embedded zinc fasteners– as used in the
Compendium (Leicester et.al. 2002)
Hazard rating
c0 - the first-year corrosion depth of zinc
Untreated timber CCA-treated timber
Eucalypts Others
H1
H2
H3
H4
H5
na
0
12
16
na
na
0
4
6
na
0
8
20
30
40
Table E.3.2 The first-year corrosion depth of embedded steel fasteners – as used in the
Compendium (Leicester et.al. 2002)
Hazard rating
c0 - the first-year corrosion depth of steel
Untreated timber CCA-treated timber
Eucalypts Others
H1
H2
H3
H4
H5
na
0
15
20
na
na
0
7
10
na
0
5
15
25
35
E.5 Service life
The service-life life of a steel fastener is assumed to be the time at which all of the effective
zinc coasting, if any, and 30% of the original strength in steel, is lost. The life of a zinc
coating is assumed to be the time at which all of the effective zinc protection is lost. The
fasteners under consideration are assumed to be subject to bending moment; therefore the
decrease of fastener bending strength is proportional to the increase of corrosion depth. For
conservative calculation, the initial diameter of screws is taken at the root (i.e. excluding the
thread), and that of bolts is taken at the shank.